TS Project (Spring 24)
Linda Ji
2024-05-19
add new chunks with cmd+opt+i #add <- with opt+-
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options(warn=-1)1. Problem statement:
- To build a model that more accurately predicts the unit sales for thousands of items sold at top three Corporación Favorita stores. ( After EDA, store number 44, 45, & 47 as top best performing sales) (a large Ecuadorian-based grocery retailer)
- Forecast the sales data for each outlet from 2017-08-02 to to 2017-08-15 given data from 2013-01-01 to 2017-08-01
- Evaluation metric: Root Mean Squared Error
Load data
datapath <- "/Users/lindaji/Downloads/02 Time Series/00 Project/retail_data"
sales <- read.csv(paste(datapath,"train.csv",sep="/"),header=T)
oil <- read.csv(paste(datapath,"oil.csv",sep="/"),header=T)
holiday <- read.csv(paste(datapath,"holidays_events.csv",sep="/"),header=T)
store <- read.csv(paste(datapath,"stores.csv",sep="/"),header=T)
head(oil)## date dcoilwtico
## 1 2013-01-01 NA
## 2 2013-01-02 93.14
## 3 2013-01-03 92.97
## 4 2013-01-04 93.12
## 5 2013-01-07 93.20
## 6 2013-01-08 93.21tail(oil)## date dcoilwtico
## 1213 2017-08-24 47.24
## 1214 2017-08-25 47.65
## 1215 2017-08-28 46.40
## 1216 2017-08-29 46.46
## 1217 2017-08-30 45.96
## 1218 2017-08-31 47.26head(sales)## id date store_nbr family sales onpromotion
## 1 0 2013-01-01 1 AUTOMOTIVE 0 0
## 2 1 2013-01-01 1 BABY CARE 0 0
## 3 2 2013-01-01 1 BEAUTY 0 0
## 4 3 2013-01-01 1 BEVERAGES 0 0
## 5 4 2013-01-01 1 BOOKS 0 0
## 6 5 2013-01-01 1 BREAD/BAKERY 0 002. Assumptions/Hypotheses about data and/or modeling
- Assume sales data is seasonal, to test which are the significant seasonal cycles
- Assume forecasted sales will have the same trend as train test set
- Assume that when data is forecast on a store level( by aggregating family of products) the seasonality pattern might change somewhat, but we are still able to model it.
03. Data properties
(stationarity, correlations, data distribution) and Exploratory data, - please refer to python file for EDA, stationarity & correlation check done there.
sales$family %>% table() %>% as.data.frame()## . Freq
## 1 AUTOMOTIVE 90936
## 2 BABY CARE 90936
## 3 BEAUTY 90936
## 4 BEVERAGES 90936
## 5 BOOKS 90936
## 6 BREAD/BAKERY 90936
## 7 CELEBRATION 90936
## 8 CLEANING 90936
## 9 DAIRY 90936
## 10 DELI 90936
## 11 EGGS 90936
## 12 FROZEN FOODS 90936
## 13 GROCERY I 90936
## 14 GROCERY II 90936
## 15 HARDWARE 90936
## 16 HOME AND KITCHEN I 90936
## 17 HOME AND KITCHEN II 90936
## 18 HOME APPLIANCES 90936
## 19 HOME CARE 90936
## 20 LADIESWEAR 90936
## 21 LAWN AND GARDEN 90936
## 22 LINGERIE 90936
## 23 LIQUOR,WINE,BEER 90936
## 24 MAGAZINES 90936
## 25 MEATS 90936
## 26 PERSONAL CARE 90936
## 27 PET SUPPLIES 90936
## 28 PLAYERS AND ELECTRONICS 90936
## 29 POULTRY 90936
## 30 PREPARED FOODS 90936
## 31 PRODUCE 90936
## 32 SCHOOL AND OFFICE SUPPLIES 90936
## 33 SEAFOOD 90936a <- sales %>% group_by(family) %>% summarise(mean_sales = round(mean(sales, na.rm=TRUE),2),
median_sales = round(median(sales, na.rm = TRUE),2),
IQR_sales = IQR(sales),
max_sales = max(sales),
total_sales = sum(sales))%>%
arrange(desc(total_sales))
#a
# Define a maroon color palette
maroon_palette <- c("#800000", "#A52A2A", "#B22222", "#8B0000", "#CD5C5C", "#E9967A")
# Ensure the palette is long enough for the number of families
num_families <- length(unique(a$family))
maroon_palette <- rep(maroon_palette, length.out = num_families)
b <- ggplot(a)+
geom_col(aes(x = reorder(family, -mean_sales), y = mean_sales, fill = str_to_title(family)))+
scale_fill_viridis_d()+
#scale_fill_manual(values = maroon_palette) +
theme(axis.text.x=element_blank(),axis.ticks.x=element_blank())+
labs(title = 'Proportion of sales by product family (rollover to see labels)',
x = 'Product family',
y = 'Average daily sales',
legend = 'Family')
ggplotly(b, width = 800, height = 450)sales %>%
filter(sales>0) %>%
group_by(date) %>%
summarise(avg_sales_per_day = mean(sales, na.rm=TRUE)) %>%
right_join(oil, by='date') %>%
ggplot()+
geom_line(aes(x = date, y = scale(dcoilwtico), colour = 'Oil_price'), na.rm = TRUE)+
geom_line(aes(x = date, y = scale(avg_sales_per_day), colour = 'Sales'), na.rm = TRUE)+
labs(title = "Total store sales compared to local oil prices: 2013-2017",
subtitle = "Data has been normalised for comparrison")## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
04. Feature engineering
A.) Combine data in train & oil
# Make a list of dates to join oil prices with (as it is missing weekends)
unq_dates <- expand.grid(date = unique(sales$date))
oil$date <- as.Date(oil$date)
unq_dates$date <- as.Date(unq_dates$date)
sales$date <- as.Date(sales$date)
all_oil <- left_join(unq_dates, oil, by = "date")
#all_oil
# Interpolate NA values in a new 'oil_price' column
all_oil$oil_price <- c(na.approx(all_oil$dcoilwtico), NA)
# Assign the interpolated oil prices to the sales dataset
sales_oil <- left_join(sales, all_oil, by = "date")
# Drop id, dcoilwtico
to_drop <- c("id", "dcoilwtico","promotion")
sales_oil <- sales_oil[, !names(sales_oil) %in% to_drop]
# Replace missing values in onpromotion with 0
sales_oil$onpromotion[is.na(sales_oil$onpromotion)] <- 0
# Change promotion column to 1 if there is a promotion number
sales_oil$onpromotion <- if_else(sales_oil$onpromotion != 0, 1, sales_oil$onpromotion)
head(sales_oil)## date store_nbr family sales onpromotion oil_price
## 1 2013-01-01 1 AUTOMOTIVE 0 0 93.14
## 2 2013-01-01 1 BABY CARE 0 0 93.14
## 3 2013-01-01 1 BEAUTY 0 0 93.14
## 4 2013-01-01 1 BEVERAGES 0 0 93.14
## 5 2013-01-01 1 BOOKS 0 0 93.14
## 6 2013-01-01 1 BREAD/BAKERY 0 0 93.14#View(sales_oil)Check Store information
store_3 <- subset(store,store_nbr %in% c(44,45,47))
#store_3B.) Add local holiday and national columns
holiday$date <- as.Date(holiday$date)
#Filter for local holidays only relevant to Quito, and only holidays that were not transferred
holiday_local <- subset(holiday,locale_name=="Quito")
holiday_local <- subset(holiday_local,transferred=="False")
holiday_local$local_holiday <- rep(1, nrow(holiday_local)) # add dummy variable 1
holiday_local_2 <- select(holiday_local,date, local_holiday)
print(head(holiday_local_2))## date local_holiday
## 29 2012-12-05 1
## 30 2012-12-06 1
## 82 2013-12-05 1
## 83 2013-12-06 1
## 147 2014-12-05 1
## 148 2014-12-06 1#filter for national holidays and holidays that were not transferred
holiday_national <- subset(holiday,locale=="National")
holiday_national <- subset(holiday_national,transferred=="False")
holiday_national$national_holiday <- rep(1, nrow(holiday_national))
holiday_national_2 <- select(holiday_national,date, national_holiday)
print(head(holiday_national_2))## date national_holiday
## 15 2012-08-10 1
## 21 2012-10-12 1
## 22 2012-11-02 1
## 23 2012-11-03 1
## 32 2012-12-21 1
## 34 2012-12-22 1sales_oil <- left_join(sales_oil, holiday_local_2, by = "date")
sales_oil <- left_join(sales_oil, holiday_national_2, by = "date",relationship = "many-to-many")
sales_oil$local_holiday <- na.fill(sales_oil$local_holiday, fill = 0)
sales_oil$national_holiday <- na.fill(sales_oil$national_holiday, fill = 0)
sales_oil$sales <- na.fill(sales_oil$sales, fill = 0)
print(head(sales_oil))## date store_nbr family sales onpromotion oil_price local_holiday
## 1 2013-01-01 1 AUTOMOTIVE 0 0 93.14 0
## 2 2013-01-01 1 BABY CARE 0 0 93.14 0
## 3 2013-01-01 1 BEAUTY 0 0 93.14 0
## 4 2013-01-01 1 BEVERAGES 0 0 93.14 0
## 5 2013-01-01 1 BOOKS 0 0 93.14 0
## 6 2013-01-01 1 BREAD/BAKERY 0 0 93.14 0
## national_holiday
## 1 1
## 2 1
## 3 1
## 4 1
## 5 1
## 6 1C.) Subset to top 3 stores(store number 44, 45, 47 only)
sales_44 <- subset(sales_oil,store_nbr %in% c(44))
sales_45 <- subset(sales_oil,store_nbr %in% c(45))
sales_47 <- subset(sales_oil,store_nbr %in% c(47))
#sales_4405. Data processing
(anomaly detection, cleansing and imputations) and transformations ## D.) Aggregated & impute data for each store
sales_44a <- sales_44 %>%
group_by(date) %>%
summarise(sales = sum(sales))
sales_45a <- sales_45 %>%
group_by(date) %>%
summarise(sales = sum(sales),oil_price=mean(oil_price),local_holiday=mean(local_holiday),national_holiday=mean(national_holiday))
sales_47a <- sales_47 %>%
group_by(date) %>%
summarise(sales = sum(sales),oil_price=mean(oil_price),local_holiday=mean(local_holiday),national_holiday=mean(national_holiday))
print(head(sales_47a))## # A tibble: 6 × 5
## date sales oil_price local_holiday national_holiday
## <date> <dbl> <dbl> <dbl> <dbl>
## 1 2013-01-01 0 93.1 0 1
## 2 2013-01-02 27263. 93.0 0 0
## 3 2013-01-03 18340. 93.1 0 0
## 4 2013-01-04 18982. 93.1 0 0
## 5 2013-01-05 26996. 93.2 0 1
## 6 2013-01-06 31646. 93.2 0 0Check May-Jun 2016 plot for pulse,
as that’s when earthquake relief donation efforts might have increased sales more than usual
#earthquake_start_date <- as.Date("2015-01-01")
#earthquake_end_date <- as.Date("2016-12-01")
#clean_train_44_eq <- clean_train_44 %>%
#filter(date < earthquake_end_date)%>%
#filter(date > earthquake_start_date)
#autoplot(ts(clean_train_44_eq$sales_i,start=c(2015,01,01),frequency=365.25))E.) Imput sales for 0 values
- There are zero sales on 1st day of each year as the stores are closed
lm_model_44 <- lm(sales ~ date, data = sales_44a)
sales_44a$sales_i <- ifelse(is.na(sales_44a$sales) | sales_44a$sales == 0, predict(lm_model_44, newdata = sales_44a), sales_44a$sales)
lm_model_45 <- lm(sales ~ date, data = sales_45a)
sales_45a$sales_i <- ifelse(is.na(sales_45a$sales) | sales_45a$sales == 0, predict(lm_model_45, newdata = sales_45a), sales_44a$sales)
lm_model_47 <- lm(sales ~ date, data = sales_44a)
sales_47a$sales_i <- ifelse(is.na(sales_47a$sales) | sales_47a$sales == 0, predict(lm_model_47, newdata = sales_47a), sales_47a$sales)
#sales_44a$sales <- as.numeric(sales_44a$sales)
#sales_45a$sales <- as.numeric(sales_45a$sales)
#sales_47a$sales <- as.numeric(sales_47a$sales)
#sales_47a
autoplot(ts(sales_44a$sales_i))
autoplot(ts(sales_45a$sales_i))
autoplot(ts(sales_47a$sales_i))
#sales_47a$sales_iF.) Filter outliers and impute ( higher values in 2016 due to earthquake relief efforts etc. )
# Detect outliers
outliers44 <- tsoutliers(sales_44a$sales_i, iterate = 2, lambda = NULL)
outliers45 <- tsoutliers(sales_45a$sales_i, iterate = 2, lambda = NULL)
outliers47 <- tsoutliers(sales_47a$sales_i, iterate = 2, lambda = NULL)
print(outliers44)## $index
## [1] 723 1214 1220
##
## $replacements
## [1] 39612.17 57817.16 62876.39print(outliers45)## $index
## [1] 723 1214 1220
##
## $replacements
## [1] 39612.17 57817.16 62876.39print(outliers47)## $index
## [1] 723 1214 1220
##
## $replacements
## [1] 37922.11 43144.38 52352.80# Replace outliers in sales_44a$sales_i with the replacements
sales_44a$sales_i[outliers44$index] <- outliers44$replacements
sales_45a$sales_i[outliers45$index] <- outliers45$replacements
sales_47a$sales_i[outliers47$index] <- outliers47$replacements
#Plot to check
plot(ts(sales_44a,start=2013,frequency=365.25))
autoplot(ts(sales_45a$sales_i))
autoplot(ts(sales_47a$sales_i))
## G.) Clean data: split train test
cutoff_date <- as.Date("2017-08-02")
clean_train_44 <- sales_44a %>% filter(date < cutoff_date)
clean_test_44 <- sales_44a %>% filter(date >= cutoff_date)
clean_train_45 <- sales_45a %>% filter(date < cutoff_date)
clean_test_45 <- sales_45a %>% filter(date >= cutoff_date)
clean_train_47 <- sales_47a %>% filter(date < cutoff_date)
clean_test_47 <- sales_47a %>% filter(date >= cutoff_date)
clean_train_47## # A tibble: 1,670 × 6
## date sales oil_price local_holiday national_holiday sales_i
## <date> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2013-01-01 0 93.1 0 1 22539.
## 2 2013-01-02 27263. 93.0 0 0 27263.
## 3 2013-01-03 18340. 93.1 0 0 18340.
## 4 2013-01-04 18982. 93.1 0 0 18982.
## 5 2013-01-05 26996. 93.2 0 1 26996.
## 6 2013-01-06 31646. 93.2 0 0 31646.
## 7 2013-01-07 15883. 93.2 0 0 15883.
## 8 2013-01-08 13099. 93.1 0 0 13099.
## 9 2013-01-09 14782. 93.8 0 0 14782.
## 10 2013-01-10 12557. 93.6 0 0 12557.
## # ℹ 1,660 more rowsH.) Raw data: Split Train test
- For checking difference in evaluation metrics
#Split for raw data (missing values and anomalies not imputed)
sales_grouped <- sales %>%
group_by(store_nbr) %>%
summarise(total_daily_sales = sum(sales))
sales_grouped## # A tibble: 54 × 2
## store_nbr total_daily_sales
## <int> <dbl>
## 1 1 14145013.
## 2 2 21557389.
## 3 3 50481910.
## 4 4 18909700.
## 5 5 15592405.
## 6 6 25183680.
## 7 7 26952050.
## 8 8 30494287.
## 9 9 26409441.
## 10 10 9613906.
## # ℹ 44 more rowssales## id date store_nbr family sales
## 1 0 2013-01-01 1 AUTOMOTIVE 0.000
## 2 1 2013-01-01 1 BABY CARE 0.000
## 3 2 2013-01-01 1 BEAUTY 0.000
## 4 3 2013-01-01 1 BEVERAGES 0.000
## 5 4 2013-01-01 1 BOOKS 0.000
## 6 5 2013-01-01 1 BREAD/BAKERY 0.000
## 7 6 2013-01-01 1 CELEBRATION 0.000
## 8 7 2013-01-01 1 CLEANING 0.000
## 9 8 2013-01-01 1 DAIRY 0.000
## 10 9 2013-01-01 1 DELI 0.000
## 11 10 2013-01-01 1 EGGS 0.000
## 12 11 2013-01-01 1 FROZEN FOODS 0.000
## 13 12 2013-01-01 1 GROCERY I 0.000
## 14 13 2013-01-01 1 GROCERY II 0.000
## 15 14 2013-01-01 1 HARDWARE 0.000
## 16 15 2013-01-01 1 HOME AND KITCHEN I 0.000
## 17 16 2013-01-01 1 HOME AND KITCHEN II 0.000
## 18 17 2013-01-01 1 HOME APPLIANCES 0.000
## 19 18 2013-01-01 1 HOME CARE 0.000
## 20 19 2013-01-01 1 LADIESWEAR 0.000
## 21 20 2013-01-01 1 LAWN AND GARDEN 0.000
## 22 21 2013-01-01 1 LINGERIE 0.000
## 23 22 2013-01-01 1 LIQUOR,WINE,BEER 0.000
## 24 23 2013-01-01 1 MAGAZINES 0.000
## 25 24 2013-01-01 1 MEATS 0.000
## 26 25 2013-01-01 1 PERSONAL CARE 0.000
## 27 26 2013-01-01 1 PET SUPPLIES 0.000
## 28 27 2013-01-01 1 PLAYERS AND ELECTRONICS 0.000
## 29 28 2013-01-01 1 POULTRY 0.000
## 30 29 2013-01-01 1 PREPARED FOODS 0.000
## 31 30 2013-01-01 1 PRODUCE 0.000
## 32 31 2013-01-01 1 SCHOOL AND OFFICE SUPPLIES 0.000
## 33 32 2013-01-01 1 SEAFOOD 0.000
## 34 33 2013-01-01 10 AUTOMOTIVE 0.000
## 35 34 2013-01-01 10 BABY CARE 0.000
## 36 35 2013-01-01 10 BEAUTY 0.000
## 37 36 2013-01-01 10 BEVERAGES 0.000
## 38 37 2013-01-01 10 BOOKS 0.000
## 39 38 2013-01-01 10 BREAD/BAKERY 0.000
## 40 39 2013-01-01 10 CELEBRATION 0.000
## 41 40 2013-01-01 10 CLEANING 0.000
## 42 41 2013-01-01 10 DAIRY 0.000
## 43 42 2013-01-01 10 DELI 0.000
## 44 43 2013-01-01 10 EGGS 0.000
## 45 44 2013-01-01 10 FROZEN FOODS 0.000
## 46 45 2013-01-01 10 GROCERY I 0.000
## 47 46 2013-01-01 10 GROCERY II 0.000
## 48 47 2013-01-01 10 HARDWARE 0.000
## 49 48 2013-01-01 10 HOME AND KITCHEN I 0.000
## 50 49 2013-01-01 10 HOME AND KITCHEN II 0.000
## 51 50 2013-01-01 10 HOME APPLIANCES 0.000
## 52 51 2013-01-01 10 HOME CARE 0.000
## 53 52 2013-01-01 10 LADIESWEAR 0.000
## 54 53 2013-01-01 10 LAWN AND GARDEN 0.000
## 55 54 2013-01-01 10 LINGERIE 0.000
## 56 55 2013-01-01 10 LIQUOR,WINE,BEER 0.000
## 57 56 2013-01-01 10 MAGAZINES 0.000
## 58 57 2013-01-01 10 MEATS 0.000
## 59 58 2013-01-01 10 PERSONAL CARE 0.000
## 60 59 2013-01-01 10 PET SUPPLIES 0.000
## 61 60 2013-01-01 10 PLAYERS AND ELECTRONICS 0.000
## 62 61 2013-01-01 10 POULTRY 0.000
## 63 62 2013-01-01 10 PREPARED FOODS 0.000
## 64 63 2013-01-01 10 PRODUCE 0.000
## 65 64 2013-01-01 10 SCHOOL AND OFFICE SUPPLIES 0.000
## 66 65 2013-01-01 10 SEAFOOD 0.000
## 67 66 2013-01-01 11 AUTOMOTIVE 0.000
## 68 67 2013-01-01 11 BABY CARE 0.000
## 69 68 2013-01-01 11 BEAUTY 0.000
## 70 69 2013-01-01 11 BEVERAGES 0.000
## 71 70 2013-01-01 11 BOOKS 0.000
## 72 71 2013-01-01 11 BREAD/BAKERY 0.000
## 73 72 2013-01-01 11 CELEBRATION 0.000
## 74 73 2013-01-01 11 CLEANING 0.000
## 75 74 2013-01-01 11 DAIRY 0.000
## 76 75 2013-01-01 11 DELI 0.000
## 77 76 2013-01-01 11 EGGS 0.000
## 78 77 2013-01-01 11 FROZEN FOODS 0.000
## 79 78 2013-01-01 11 GROCERY I 0.000
## 80 79 2013-01-01 11 GROCERY II 0.000
## 81 80 2013-01-01 11 HARDWARE 0.000
## 82 81 2013-01-01 11 HOME AND KITCHEN I 0.000
## 83 82 2013-01-01 11 HOME AND KITCHEN II 0.000
## 84 83 2013-01-01 11 HOME APPLIANCES 0.000
## 85 84 2013-01-01 11 HOME CARE 0.000
## 86 85 2013-01-01 11 LADIESWEAR 0.000
## 87 86 2013-01-01 11 LAWN AND GARDEN 0.000
## 88 87 2013-01-01 11 LINGERIE 0.000
## 89 88 2013-01-01 11 LIQUOR,WINE,BEER 0.000
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## 1724 1723 2013-01-01 8 CLEANING 0.000
## 1725 1724 2013-01-01 8 DAIRY 0.000
## 1726 1725 2013-01-01 8 DELI 0.000
## 1727 1726 2013-01-01 8 EGGS 0.000
## 1728 1727 2013-01-01 8 FROZEN FOODS 0.000
## 1729 1728 2013-01-01 8 GROCERY I 0.000
## 1730 1729 2013-01-01 8 GROCERY II 0.000
## 1731 1730 2013-01-01 8 HARDWARE 0.000
## 1732 1731 2013-01-01 8 HOME AND KITCHEN I 0.000
## 1733 1732 2013-01-01 8 HOME AND KITCHEN II 0.000
## 1734 1733 2013-01-01 8 HOME APPLIANCES 0.000
## 1735 1734 2013-01-01 8 HOME CARE 0.000
## 1736 1735 2013-01-01 8 LADIESWEAR 0.000
## 1737 1736 2013-01-01 8 LAWN AND GARDEN 0.000
## 1738 1737 2013-01-01 8 LINGERIE 0.000
## 1739 1738 2013-01-01 8 LIQUOR,WINE,BEER 0.000
## 1740 1739 2013-01-01 8 MAGAZINES 0.000
## 1741 1740 2013-01-01 8 MEATS 0.000
## 1742 1741 2013-01-01 8 PERSONAL CARE 0.000
## 1743 1742 2013-01-01 8 PET SUPPLIES 0.000
## 1744 1743 2013-01-01 8 PLAYERS AND ELECTRONICS 0.000
## 1745 1744 2013-01-01 8 POULTRY 0.000
## 1746 1745 2013-01-01 8 PREPARED FOODS 0.000
## 1747 1746 2013-01-01 8 PRODUCE 0.000
## 1748 1747 2013-01-01 8 SCHOOL AND OFFICE SUPPLIES 0.000
## 1749 1748 2013-01-01 8 SEAFOOD 0.000
## 1750 1749 2013-01-01 9 AUTOMOTIVE 0.000
## 1751 1750 2013-01-01 9 BABY CARE 0.000
## 1752 1751 2013-01-01 9 BEAUTY 0.000
## 1753 1752 2013-01-01 9 BEVERAGES 0.000
## 1754 1753 2013-01-01 9 BOOKS 0.000
## 1755 1754 2013-01-01 9 BREAD/BAKERY 0.000
## 1756 1755 2013-01-01 9 CELEBRATION 0.000
## 1757 1756 2013-01-01 9 CLEANING 0.000
## 1758 1757 2013-01-01 9 DAIRY 0.000
## 1759 1758 2013-01-01 9 DELI 0.000
## 1760 1759 2013-01-01 9 EGGS 0.000
## 1761 1760 2013-01-01 9 FROZEN FOODS 0.000
## 1762 1761 2013-01-01 9 GROCERY I 0.000
## 1763 1762 2013-01-01 9 GROCERY II 0.000
## 1764 1763 2013-01-01 9 HARDWARE 0.000
## 1765 1764 2013-01-01 9 HOME AND KITCHEN I 0.000
## 1766 1765 2013-01-01 9 HOME AND KITCHEN II 0.000
## 1767 1766 2013-01-01 9 HOME APPLIANCES 0.000
## 1768 1767 2013-01-01 9 HOME CARE 0.000
## 1769 1768 2013-01-01 9 LADIESWEAR 0.000
## 1770 1769 2013-01-01 9 LAWN AND GARDEN 0.000
## 1771 1770 2013-01-01 9 LINGERIE 0.000
## 1772 1771 2013-01-01 9 LIQUOR,WINE,BEER 0.000
## 1773 1772 2013-01-01 9 MAGAZINES 0.000
## 1774 1773 2013-01-01 9 MEATS 0.000
## 1775 1774 2013-01-01 9 PERSONAL CARE 0.000
## 1776 1775 2013-01-01 9 PET SUPPLIES 0.000
## 1777 1776 2013-01-01 9 PLAYERS AND ELECTRONICS 0.000
## 1778 1777 2013-01-01 9 POULTRY 0.000
## 1779 1778 2013-01-01 9 PREPARED FOODS 0.000
## 1780 1779 2013-01-01 9 PRODUCE 0.000
## 1781 1780 2013-01-01 9 SCHOOL AND OFFICE SUPPLIES 0.000
## 1782 1781 2013-01-01 9 SEAFOOD 0.000
## 1783 1782 2013-01-02 1 AUTOMOTIVE 2.000
## 1784 1783 2013-01-02 1 BABY CARE 0.000
## 1785 1784 2013-01-02 1 BEAUTY 2.000
## 1786 1785 2013-01-02 1 BEVERAGES 1091.000
## 1787 1786 2013-01-02 1 BOOKS 0.000
## 1788 1787 2013-01-02 1 BREAD/BAKERY 470.652
## 1789 1788 2013-01-02 1 CELEBRATION 0.000
## 1790 1789 2013-01-02 1 CLEANING 1060.000
## 1791 1790 2013-01-02 1 DAIRY 579.000
## 1792 1791 2013-01-02 1 DELI 164.069
## 1793 1792 2013-01-02 1 EGGS 246.000
## 1794 1793 2013-01-02 1 FROZEN FOODS 131.000
## 1795 1794 2013-01-02 1 GROCERY I 2652.000
## 1796 1795 2013-01-02 1 GROCERY II 31.000
## 1797 1796 2013-01-02 1 HARDWARE 3.000
## 1798 1797 2013-01-02 1 HOME AND KITCHEN I 0.000
## 1799 1798 2013-01-02 1 HOME AND KITCHEN II 0.000
## 1800 1799 2013-01-02 1 HOME APPLIANCES 0.000
## 1801 1800 2013-01-02 1 HOME CARE 0.000
## 1802 1801 2013-01-02 1 LADIESWEAR 0.000
## 1803 1802 2013-01-02 1 LAWN AND GARDEN 10.000
## 1804 1803 2013-01-02 1 LINGERIE 13.000
## 1805 1804 2013-01-02 1 LIQUOR,WINE,BEER 67.000
## 1806 1805 2013-01-02 1 MAGAZINES 0.000
## 1807 1806 2013-01-02 1 MEATS 369.101
## 1808 1807 2013-01-02 1 PERSONAL CARE 194.000
## 1809 1808 2013-01-02 1 PET SUPPLIES 0.000
## 1810 1809 2013-01-02 1 PLAYERS AND ELECTRONICS 0.000
## 1811 1810 2013-01-02 1 POULTRY 247.297
## 1812 1811 2013-01-02 1 PREPARED FOODS 47.000
## 1813 1812 2013-01-02 1 PRODUCE 0.000
## 1814 1813 2013-01-02 1 SCHOOL AND OFFICE SUPPLIES 0.000
## 1815 1814 2013-01-02 1 SEAFOOD 38.029
## 1816 1815 2013-01-02 10 AUTOMOTIVE 3.000
## 1817 1816 2013-01-02 10 BABY CARE 0.000
## 1818 1817 2013-01-02 10 BEAUTY 6.000
## 1819 1818 2013-01-02 10 BEVERAGES 396.000
## 1820 1819 2013-01-02 10 BOOKS 0.000
## 1821 1820 2013-01-02 10 BREAD/BAKERY 151.000
## 1822 1821 2013-01-02 10 CELEBRATION 0.000
## 1823 1822 2013-01-02 10 CLEANING 1110.000
## 1824 1823 2013-01-02 10 DAIRY 101.000
## 1825 1824 2013-01-02 10 DELI 276.000
## 1826 1825 2013-01-02 10 EGGS 57.000
## 1827 1826 2013-01-02 10 FROZEN FOODS 41.164
## 1828 1827 2013-01-02 10 GROCERY I 2579.000
## 1829 1828 2013-01-02 10 GROCERY II 8.000
## 1830 1829 2013-01-02 10 HARDWARE 2.000
## 1831 1830 2013-01-02 10 HOME AND KITCHEN I 0.000
## 1832 1831 2013-01-02 10 HOME AND KITCHEN II 0.000
## 1833 1832 2013-01-02 10 HOME APPLIANCES 0.000
## 1834 1833 2013-01-02 10 HOME CARE 0.000
## 1835 1834 2013-01-02 10 LADIESWEAR 0.000
## 1836 1835 2013-01-02 10 LAWN AND GARDEN 0.000
## 1837 1836 2013-01-02 10 LINGERIE 4.000
## 1838 1837 2013-01-02 10 LIQUOR,WINE,BEER 6.000
## 1839 1838 2013-01-02 10 MAGAZINES 0.000
## 1840 1839 2013-01-02 10 MEATS 291.140
## 1841 1840 2013-01-02 10 PERSONAL CARE 223.000
## 1842 1841 2013-01-02 10 PET SUPPLIES 0.000
## 1843 1842 2013-01-02 10 PLAYERS AND ELECTRONICS 0.000
## 1844 1843 2013-01-02 10 POULTRY 146.784
## 1845 1844 2013-01-02 10 PREPARED FOODS 26.000
## 1846 1845 2013-01-02 10 PRODUCE 0.000
## 1847 1846 2013-01-02 10 SCHOOL AND OFFICE SUPPLIES 0.000
## 1848 1847 2013-01-02 10 SEAFOOD 3.000
## 1849 1848 2013-01-02 11 AUTOMOTIVE 12.000
## 1850 1849 2013-01-02 11 BABY CARE 0.000
## 1851 1850 2013-01-02 11 BEAUTY 7.000
## 1852 1851 2013-01-02 11 BEVERAGES 3443.000
## 1853 1852 2013-01-02 11 BOOKS 0.000
## 1854 1853 2013-01-02 11 BREAD/BAKERY 763.000
## 1855 1854 2013-01-02 11 CELEBRATION 0.000
## 1856 1855 2013-01-02 11 CLEANING 3260.000
## 1857 1856 2013-01-02 11 DAIRY 296.000
## 1858 1857 2013-01-02 11 DELI 527.295
## 1859 1858 2013-01-02 11 EGGS 140.000
## 1860 1859 2013-01-02 11 FROZEN FOODS 57.771
## 1861 1860 2013-01-02 11 GROCERY I 7736.000
## 1862 1861 2013-01-02 11 GROCERY II 15.000
## 1863 1862 2013-01-02 11 HARDWARE 3.000
## 1864 1863 2013-01-02 11 HOME AND KITCHEN I 0.000
## 1865 1864 2013-01-02 11 HOME AND KITCHEN II 0.000
## 1866 1865 2013-01-02 11 HOME APPLIANCES 0.000
## 1867 1866 2013-01-02 11 HOME CARE 0.000
## 1868 1867 2013-01-02 11 LADIESWEAR 0.000
## 1869 1868 2013-01-02 11 LAWN AND GARDEN 0.000
## 1870 1869 2013-01-02 11 LINGERIE 20.000
## 1871 1870 2013-01-02 11 LIQUOR,WINE,BEER 29.000
## 1872 1871 2013-01-02 11 MAGAZINES 0.000
## 1873 1872 2013-01-02 11 MEATS 832.541
## 1874 1873 2013-01-02 11 PERSONAL CARE 604.000
## 1875 1874 2013-01-02 11 PET SUPPLIES 0.000
## 1876 1875 2013-01-02 11 PLAYERS AND ELECTRONICS 0.000
## 1877 1876 2013-01-02 11 POULTRY 548.031
## 1878 1877 2013-01-02 11 PREPARED FOODS 31.000
## 1879 1878 2013-01-02 11 PRODUCE 0.000
## 1880 1879 2013-01-02 11 SCHOOL AND OFFICE SUPPLIES 0.000
## 1881 1880 2013-01-02 11 SEAFOOD 5.000
## 1882 1881 2013-01-02 12 AUTOMOTIVE 4.000
## 1883 1882 2013-01-02 12 BABY CARE 0.000
## 1884 1883 2013-01-02 12 BEAUTY 1.000
## 1885 1884 2013-01-02 12 BEVERAGES 682.000
## 1886 1885 2013-01-02 12 BOOKS 0.000
## 1887 1886 2013-01-02 12 BREAD/BAKERY 337.000
## 1888 1887 2013-01-02 12 CELEBRATION 0.000
## 1889 1888 2013-01-02 12 CLEANING 1092.000
## 1890 1889 2013-01-02 12 DAIRY 151.000
## 1891 1890 2013-01-02 12 DELI 176.000
## 1892 1891 2013-01-02 12 EGGS 75.000
## 1893 1892 2013-01-02 12 FROZEN FOODS 14.000
## 1894 1893 2013-01-02 12 GROCERY I 2677.000
## 1895 1894 2013-01-02 12 GROCERY II 5.000
## 1896 1895 2013-01-02 12 HARDWARE 0.000
## 1897 1896 2013-01-02 12 HOME AND KITCHEN I 0.000
## 1898 1897 2013-01-02 12 HOME AND KITCHEN II 0.000
## 1899 1898 2013-01-02 12 HOME APPLIANCES 0.000
## 1900 1899 2013-01-02 12 HOME CARE 0.000
## 1901 1900 2013-01-02 12 LADIESWEAR 0.000
## 1902 1901 2013-01-02 12 LAWN AND GARDEN 0.000
## 1903 1902 2013-01-02 12 LINGERIE 9.000
## 1904 1903 2013-01-02 12 LIQUOR,WINE,BEER 36.000
## 1905 1904 2013-01-02 12 MAGAZINES 0.000
## 1906 1905 2013-01-02 12 MEATS 232.349
## 1907 1906 2013-01-02 12 PERSONAL CARE 210.000
## 1908 1907 2013-01-02 12 PET SUPPLIES 0.000
## 1909 1908 2013-01-02 12 PLAYERS AND ELECTRONICS 0.000
## 1910 1909 2013-01-02 12 POULTRY 103.168
## 1911 1910 2013-01-02 12 PREPARED FOODS 41.000
## 1912 1911 2013-01-02 12 PRODUCE 0.000
## 1913 1912 2013-01-02 12 SCHOOL AND OFFICE SUPPLIES 0.000
## 1914 1913 2013-01-02 12 SEAFOOD 9.000
## 1915 1914 2013-01-02 13 AUTOMOTIVE 7.000
## 1916 1915 2013-01-02 13 BABY CARE 0.000
## 1917 1916 2013-01-02 13 BEAUTY 3.000
## 1918 1917 2013-01-02 13 BEVERAGES 767.000
## 1919 1918 2013-01-02 13 BOOKS 0.000
## 1920 1919 2013-01-02 13 BREAD/BAKERY 231.000
## 1921 1920 2013-01-02 13 CELEBRATION 0.000
## 1922 1921 2013-01-02 13 CLEANING 1000.000
## 1923 1922 2013-01-02 13 DAIRY 111.000
## 1924 1923 2013-01-02 13 DELI 195.000
## 1925 1924 2013-01-02 13 EGGS 48.000
## 1926 1925 2013-01-02 13 FROZEN FOODS 28.541
## 1927 1926 2013-01-02 13 GROCERY I 2587.000
## 1928 1927 2013-01-02 13 GROCERY II 5.000
## 1929 1928 2013-01-02 13 HARDWARE 0.000
## 1930 1929 2013-01-02 13 HOME AND KITCHEN I 0.000
## 1931 1930 2013-01-02 13 HOME AND KITCHEN II 0.000
## 1932 1931 2013-01-02 13 HOME APPLIANCES 0.000
## 1933 1932 2013-01-02 13 HOME CARE 0.000
## 1934 1933 2013-01-02 13 LADIESWEAR 0.000
## 1935 1934 2013-01-02 13 LAWN AND GARDEN 0.000
## 1936 1935 2013-01-02 13 LINGERIE 10.000
## 1937 1936 2013-01-02 13 LIQUOR,WINE,BEER 17.000
## 1938 1937 2013-01-02 13 MAGAZINES 0.000
## 1939 1938 2013-01-02 13 MEATS 137.910
## 1940 1939 2013-01-02 13 PERSONAL CARE 241.000
## 1941 1940 2013-01-02 13 PET SUPPLIES 0.000
## 1942 1941 2013-01-02 13 PLAYERS AND ELECTRONICS 0.000
## 1943 1942 2013-01-02 13 POULTRY 102.380
## 1944 1943 2013-01-02 13 PREPARED FOODS 25.000
## 1945 1944 2013-01-02 13 PRODUCE 0.000
## 1946 1945 2013-01-02 13 SCHOOL AND OFFICE SUPPLIES 0.000
## 1947 1946 2013-01-02 13 SEAFOOD 1.000
## 1948 1947 2013-01-02 14 AUTOMOTIVE 8.000
## 1949 1948 2013-01-02 14 BABY CARE 0.000
## 1950 1949 2013-01-02 14 BEAUTY 3.000
## 1951 1950 2013-01-02 14 BEVERAGES 744.000
## 1952 1951 2013-01-02 14 BOOKS 0.000
## 1953 1952 2013-01-02 14 BREAD/BAKERY 409.000
## 1954 1953 2013-01-02 14 CELEBRATION 0.000
## 1955 1954 2013-01-02 14 CLEANING 1716.000
## 1956 1955 2013-01-02 14 DAIRY 154.000
## 1957 1956 2013-01-02 14 DELI 204.000
## 1958 1957 2013-01-02 14 EGGS 53.000
## 1959 1958 2013-01-02 14 FROZEN FOODS 119.343
## 1960 1959 2013-01-02 14 GROCERY I 3257.000
## 1961 1960 2013-01-02 14 GROCERY II 5.000
## 1962 1961 2013-01-02 14 HARDWARE 0.000
## 1963 1962 2013-01-02 14 HOME AND KITCHEN I 0.000
## 1964 1963 2013-01-02 14 HOME AND KITCHEN II 0.000
## 1965 1964 2013-01-02 14 HOME APPLIANCES 0.000
## 1966 1965 2013-01-02 14 HOME CARE 0.000
## 1967 1966 2013-01-02 14 LADIESWEAR 0.000
## 1968 1967 2013-01-02 14 LAWN AND GARDEN 0.000
## 1969 1968 2013-01-02 14 LINGERIE 23.000
## 1970 1969 2013-01-02 14 LIQUOR,WINE,BEER 10.000
## 1971 1970 2013-01-02 14 MAGAZINES 0.000
## 1972 1971 2013-01-02 14 MEATS 368.732
## 1973 1972 2013-01-02 14 PERSONAL CARE 493.000
## 1974 1973 2013-01-02 14 PET SUPPLIES 0.000
## 1975 1974 2013-01-02 14 PLAYERS AND ELECTRONICS 0.000
## 1976 1975 2013-01-02 14 POULTRY 98.178
## 1977 1976 2013-01-02 14 PREPARED FOODS 24.000
## 1978 1977 2013-01-02 14 PRODUCE 0.000
## 1979 1978 2013-01-02 14 SCHOOL AND OFFICE SUPPLIES 0.000
## 1980 1979 2013-01-02 14 SEAFOOD 9.000
## 1981 1980 2013-01-02 15 AUTOMOTIVE 4.000
## 1982 1981 2013-01-02 15 BABY CARE 0.000
## 1983 1982 2013-01-02 15 BEAUTY 5.000
## 1984 1983 2013-01-02 15 BEVERAGES 938.000
## 1985 1984 2013-01-02 15 BOOKS 0.000
## 1986 1985 2013-01-02 15 BREAD/BAKERY 270.000
## 1987 1986 2013-01-02 15 CELEBRATION 0.000
## 1988 1987 2013-01-02 15 CLEANING 1300.000
## 1989 1988 2013-01-02 15 DAIRY 152.000
## 1990 1989 2013-01-02 15 DELI 219.000
## 1991 1990 2013-01-02 15 EGGS 73.000
## 1992 1991 2013-01-02 15 FROZEN FOODS 33.000
## 1993 1992 2013-01-02 15 GROCERY I 3130.000
## 1994 1993 2013-01-02 15 GROCERY II 9.000
## 1995 1994 2013-01-02 15 HARDWARE 1.000
## 1996 1995 2013-01-02 15 HOME AND KITCHEN I 0.000
## 1997 1996 2013-01-02 15 HOME AND KITCHEN II 0.000
## 1998 1997 2013-01-02 15 HOME APPLIANCES 0.000
## 1999 1998 2013-01-02 15 HOME CARE 0.000
## 2000 1999 2013-01-02 15 LADIESWEAR 0.000
## 2001 2000 2013-01-02 15 LAWN AND GARDEN 0.000
## 2002 2001 2013-01-02 15 LINGERIE 5.000
## 2003 2002 2013-01-02 15 LIQUOR,WINE,BEER 16.000
## 2004 2003 2013-01-02 15 MAGAZINES 0.000
## 2005 2004 2013-01-02 15 MEATS 84.805
## 2006 2005 2013-01-02 15 PERSONAL CARE 312.000
## 2007 2006 2013-01-02 15 PET SUPPLIES 0.000
## 2008 2007 2013-01-02 15 PLAYERS AND ELECTRONICS 0.000
## 2009 2008 2013-01-02 15 POULTRY 0.000
## 2010 2009 2013-01-02 15 PREPARED FOODS 22.000
## 2011 2010 2013-01-02 15 PRODUCE 0.000
## 2012 2011 2013-01-02 15 SCHOOL AND OFFICE SUPPLIES 0.000
## 2013 2012 2013-01-02 15 SEAFOOD 4.000
## 2014 2013 2013-01-02 16 AUTOMOTIVE 5.000
## 2015 2014 2013-01-02 16 BABY CARE 0.000
## 2016 2015 2013-01-02 16 BEAUTY 0.000
## 2017 2016 2013-01-02 16 BEVERAGES 389.000
## 2018 2017 2013-01-02 16 BOOKS 0.000
## 2019 2018 2013-01-02 16 BREAD/BAKERY 227.000
## 2020 2019 2013-01-02 16 CELEBRATION 0.000
## 2021 2020 2013-01-02 16 CLEANING 1361.000
## 2022 2021 2013-01-02 16 DAIRY 122.000
## 2023 2022 2013-01-02 16 DELI 295.000
## 2024 2023 2013-01-02 16 EGGS 155.000
## 2025 2024 2013-01-02 16 FROZEN FOODS 29.000
## 2026 2025 2013-01-02 16 GROCERY I 3176.000
## 2027 2026 2013-01-02 16 GROCERY II 10.000
## 2028 2027 2013-01-02 16 HARDWARE 0.000
## 2029 2028 2013-01-02 16 HOME AND KITCHEN I 0.000
## 2030 2029 2013-01-02 16 HOME AND KITCHEN II 0.000
## 2031 2030 2013-01-02 16 HOME APPLIANCES 0.000
## 2032 2031 2013-01-02 16 HOME CARE 0.000
## 2033 2032 2013-01-02 16 LADIESWEAR 0.000
## 2034 2033 2013-01-02 16 LAWN AND GARDEN 0.000
## 2035 2034 2013-01-02 16 LINGERIE 9.000
## 2036 2035 2013-01-02 16 LIQUOR,WINE,BEER 17.000
## 2037 2036 2013-01-02 16 MAGAZINES 0.000
## 2038 2037 2013-01-02 16 MEATS 12.584
## 2039 2038 2013-01-02 16 PERSONAL CARE 275.000
## 2040 2039 2013-01-02 16 PET SUPPLIES 0.000
## 2041 2040 2013-01-02 16 PLAYERS AND ELECTRONICS 0.000
## 2042 2041 2013-01-02 16 POULTRY 117.988
## 2043 2042 2013-01-02 16 PREPARED FOODS 37.000
## 2044 2043 2013-01-02 16 PRODUCE 0.000
## 2045 2044 2013-01-02 16 SCHOOL AND OFFICE SUPPLIES 0.000
## 2046 2045 2013-01-02 16 SEAFOOD 5.000
## 2047 2046 2013-01-02 17 AUTOMOTIVE 8.000
## 2048 2047 2013-01-02 17 BABY CARE 0.000
## 2049 2048 2013-01-02 17 BEAUTY 2.000
## 2050 2049 2013-01-02 17 BEVERAGES 1011.000
## 2051 2050 2013-01-02 17 BOOKS 0.000
## 2052 2051 2013-01-02 17 BREAD/BAKERY 282.000
## 2053 2052 2013-01-02 17 CELEBRATION 0.000
## 2054 2053 2013-01-02 17 CLEANING 1329.000
## 2055 2054 2013-01-02 17 DAIRY 185.000
## 2056 2055 2013-01-02 17 DELI 378.000
## 2057 2056 2013-01-02 17 EGGS 139.000
## 2058 2057 2013-01-02 17 FROZEN FOODS 48.516
## 2059 2058 2013-01-02 17 GROCERY I 3431.000
## 2060 2059 2013-01-02 17 GROCERY II 6.000
## 2061 2060 2013-01-02 17 HARDWARE 0.000
## 2062 2061 2013-01-02 17 HOME AND KITCHEN I 0.000
## 2063 2062 2013-01-02 17 HOME AND KITCHEN II 0.000
## 2064 2063 2013-01-02 17 HOME APPLIANCES 0.000
## 2065 2064 2013-01-02 17 HOME CARE 0.000
## 2066 2065 2013-01-02 17 LADIESWEAR 0.000
## 2067 2066 2013-01-02 17 LAWN AND GARDEN 0.000
## 2068 2067 2013-01-02 17 LINGERIE 7.000
## 2069 2068 2013-01-02 17 LIQUOR,WINE,BEER 120.000
## 2070 2069 2013-01-02 17 MAGAZINES 0.000
## 2071 2070 2013-01-02 17 MEATS 226.374
## 2072 2071 2013-01-02 17 PERSONAL CARE 214.000
## 2073 2072 2013-01-02 17 PET SUPPLIES 0.000
## 2074 2073 2013-01-02 17 PLAYERS AND ELECTRONICS 0.000
## 2075 2074 2013-01-02 17 POULTRY 223.623
## 2076 2075 2013-01-02 17 PREPARED FOODS 47.000
## 2077 2076 2013-01-02 17 PRODUCE 0.000
## 2078 2077 2013-01-02 17 SCHOOL AND OFFICE SUPPLIES 0.000
## 2079 2078 2013-01-02 17 SEAFOOD 16.000
## 2080 2079 2013-01-02 18 AUTOMOTIVE 1.000
## 2081 2080 2013-01-02 18 BABY CARE 0.000
## 2082 2081 2013-01-02 18 BEAUTY 2.000
## 2083 2082 2013-01-02 18 BEVERAGES 1089.000
## 2084 2083 2013-01-02 18 BOOKS 0.000
## 2085 2084 2013-01-02 18 BREAD/BAKERY 833.000
## 2086 2085 2013-01-02 18 CELEBRATION 0.000
## 2087 2086 2013-01-02 18 CLEANING 942.000
## 2088 2087 2013-01-02 18 DAIRY 388.000
## 2089 2088 2013-01-02 18 DELI 255.819
## 2090 2089 2013-01-02 18 EGGS 238.000
## 2091 2090 2013-01-02 18 FROZEN FOODS 93.764
## 2092 2091 2013-01-02 18 GROCERY I 3756.000
## 2093 2092 2013-01-02 18 GROCERY II 22.000
## 2094 2093 2013-01-02 18 HARDWARE 0.000
## 2095 2094 2013-01-02 18 HOME AND KITCHEN I 0.000
## 2096 2095 2013-01-02 18 HOME AND KITCHEN II 0.000
## 2097 2096 2013-01-02 18 HOME APPLIANCES 0.000
## 2098 2097 2013-01-02 18 HOME CARE 0.000
## 2099 2098 2013-01-02 18 LADIESWEAR 0.000
## 2100 2099 2013-01-02 18 LAWN AND GARDEN 0.000
## 2101 2100 2013-01-02 18 LINGERIE 8.000
## 2102 2101 2013-01-02 18 LIQUOR,WINE,BEER 24.000
## 2103 2102 2013-01-02 18 MAGAZINES 0.000
## 2104 2103 2013-01-02 18 MEATS 117.167
## 2105 2104 2013-01-02 18 PERSONAL CARE 178.000
## 2106 2105 2013-01-02 18 PET SUPPLIES 0.000
## 2107 2106 2013-01-02 18 PLAYERS AND ELECTRONICS 0.000
## 2108 2107 2013-01-02 18 POULTRY 173.817
## 2109 2108 2013-01-02 18 PREPARED FOODS 60.000
## 2110 2109 2013-01-02 18 PRODUCE 0.000
## 2111 2110 2013-01-02 18 SCHOOL AND OFFICE SUPPLIES 0.000
## 2112 2111 2013-01-02 18 SEAFOOD 23.000
## 2113 2112 2013-01-02 19 AUTOMOTIVE 3.000
## 2114 2113 2013-01-02 19 BABY CARE 0.000
## 2115 2114 2013-01-02 19 BEAUTY 2.000
## 2116 2115 2013-01-02 19 BEVERAGES 1220.000
## 2117 2116 2013-01-02 19 BOOKS 0.000
## 2118 2117 2013-01-02 19 BREAD/BAKERY 388.000
## 2119 2118 2013-01-02 19 CELEBRATION 0.000
## 2120 2119 2013-01-02 19 CLEANING 816.000
## 2121 2120 2013-01-02 19 DAIRY 106.000
## 2122 2121 2013-01-02 19 DELI 193.000
## 2123 2122 2013-01-02 19 EGGS 40.000
## 2124 2123 2013-01-02 19 FROZEN FOODS 13.000
## 2125 2124 2013-01-02 19 GROCERY I 2439.000
## 2126 2125 2013-01-02 19 GROCERY II 13.000
## 2127 2126 2013-01-02 19 HARDWARE 0.000
## 2128 2127 2013-01-02 19 HOME AND KITCHEN I 0.000
## 2129 2128 2013-01-02 19 HOME AND KITCHEN II 0.000
## 2130 2129 2013-01-02 19 HOME APPLIANCES 0.000
## 2131 2130 2013-01-02 19 HOME CARE 0.000
## 2132 2131 2013-01-02 19 LADIESWEAR 0.000
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## 2140 2139 2013-01-02 19 PLAYERS AND ELECTRONICS 0.000
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## 2924 2923 2013-01-02 40 LADIESWEAR 0.000
## 2925 2924 2013-01-02 40 LAWN AND GARDEN 0.000
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## 2928 2927 2013-01-02 40 MAGAZINES 0.000
## 2929 2928 2013-01-02 40 MEATS 72.568
## 2930 2929 2013-01-02 40 PERSONAL CARE 229.000
## 2931 2930 2013-01-02 40 PET SUPPLIES 0.000
## 2932 2931 2013-01-02 40 PLAYERS AND ELECTRONICS 0.000
## 2933 2932 2013-01-02 40 POULTRY 11.446
## 2934 2933 2013-01-02 40 PREPARED FOODS 38.000
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## 2936 2935 2013-01-02 40 SCHOOL AND OFFICE SUPPLIES 0.000
## 2937 2936 2013-01-02 40 SEAFOOD 1.000
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## 2939 2938 2013-01-02 41 BABY CARE 0.000
## 2940 2939 2013-01-02 41 BEAUTY 4.000
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## 2942 2941 2013-01-02 41 BOOKS 0.000
## 2943 2942 2013-01-02 41 BREAD/BAKERY 312.165
## 2944 2943 2013-01-02 41 CELEBRATION 0.000
## 2945 2944 2013-01-02 41 CLEANING 786.000
## 2946 2945 2013-01-02 41 DAIRY 276.000
## 2947 2946 2013-01-02 41 DELI 206.435
## 2948 2947 2013-01-02 41 EGGS 127.000
## 2949 2948 2013-01-02 41 FROZEN FOODS 94.539
## 2950 2949 2013-01-02 41 GROCERY I 2211.000
## 2951 2950 2013-01-02 41 GROCERY II 14.000
## 2952 2951 2013-01-02 41 HARDWARE 2.000
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## 2956 2955 2013-01-02 41 HOME CARE 0.000
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## 2985 2984 2013-01-02 42 HARDWARE 0.000
## 2986 2985 2013-01-02 42 HOME AND KITCHEN I 0.000
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## 3005 3004 2013-01-02 43 BABY CARE 0.000
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## 3008 3007 2013-01-02 43 BOOKS 0.000
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## 3010 3009 2013-01-02 43 CELEBRATION 0.000
## 3011 3010 2013-01-02 43 CLEANING 990.000
## 3012 3011 2013-01-02 43 DAIRY 65.000
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## 3014 3013 2013-01-02 43 EGGS 88.000
## 3015 3014 2013-01-02 43 FROZEN FOODS 13.000
## 3016 3015 2013-01-02 43 GROCERY I 2753.000
## 3017 3016 2013-01-02 43 GROCERY II 9.000
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## 3019 3018 2013-01-02 43 HOME AND KITCHEN I 0.000
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## 3022 3021 2013-01-02 43 HOME CARE 0.000
## 3023 3022 2013-01-02 43 LADIESWEAR 0.000
## 3024 3023 2013-01-02 43 LAWN AND GARDEN 0.000
## 3025 3024 2013-01-02 43 LINGERIE 7.000
## 3026 3025 2013-01-02 43 LIQUOR,WINE,BEER 151.000
## 3027 3026 2013-01-02 43 MAGAZINES 0.000
## 3028 3027 2013-01-02 43 MEATS 57.174
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## 3030 3029 2013-01-02 43 PET SUPPLIES 0.000
## 3031 3030 2013-01-02 43 PLAYERS AND ELECTRONICS 0.000
## 3032 3031 2013-01-02 43 POULTRY 66.161
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## 3035 3034 2013-01-02 43 SCHOOL AND OFFICE SUPPLIES 0.000
## 3036 3035 2013-01-02 43 SEAFOOD 0.000
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## 3038 3037 2013-01-02 44 BABY CARE 0.000
## 3039 3038 2013-01-02 44 BEAUTY 7.000
## 3040 3039 2013-01-02 44 BEVERAGES 5466.000
## 3041 3040 2013-01-02 44 BOOKS 0.000
## 3042 3041 2013-01-02 44 BREAD/BAKERY 1491.913
## 3043 3042 2013-01-02 44 CELEBRATION 0.000
## 3044 3043 2013-01-02 44 CLEANING 3731.000
## 3045 3044 2013-01-02 44 DAIRY 2101.000
## 3046 3045 2013-01-02 44 DELI 826.643
## 3047 3046 2013-01-02 44 EGGS 997.000
## 3048 3047 2013-01-02 44 FROZEN FOODS 778.704
## 3049 3048 2013-01-02 44 GROCERY I 10686.000
## 3050 3049 2013-01-02 44 GROCERY II 135.000
## 3051 3050 2013-01-02 44 HARDWARE 2.000
## 3052 3051 2013-01-02 44 HOME AND KITCHEN I 0.000
## 3053 3052 2013-01-02 44 HOME AND KITCHEN II 0.000
## 3054 3053 2013-01-02 44 HOME APPLIANCES 0.000
## 3055 3054 2013-01-02 44 HOME CARE 0.000
## 3056 3055 2013-01-02 44 LADIESWEAR 0.000
## 3057 3056 2013-01-02 44 LAWN AND GARDEN 12.000
## 3058 3057 2013-01-02 44 LINGERIE 4.000
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## 3060 3059 2013-01-02 44 MAGAZINES 0.000
## 3061 3060 2013-01-02 44 MEATS 1072.927
## 3062 3061 2013-01-02 44 PERSONAL CARE 716.000
## 3063 3062 2013-01-02 44 PET SUPPLIES 0.000
## 3064 3063 2013-01-02 44 PLAYERS AND ELECTRONICS 0.000
## 3065 3064 2013-01-02 44 POULTRY 1034.765
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## 3076 3075 2013-01-02 45 CELEBRATION 0.000
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## 3081 3080 2013-01-02 45 FROZEN FOODS 600.702
## 3082 3081 2013-01-02 45 GROCERY I 11422.000
## 3083 3082 2013-01-02 45 GROCERY II 150.000
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## 3093 3092 2013-01-02 45 MAGAZINES 0.000
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## 3115 3114 2013-01-02 46 GROCERY I 10892.000
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## 3128 3127 2013-01-02 46 PERSONAL CARE 1122.000
## 3129 3128 2013-01-02 46 PET SUPPLIES 0.000
## 3130 3129 2013-01-02 46 PLAYERS AND ELECTRONICS 0.000
## 3131 3130 2013-01-02 46 POULTRY 1198.384
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## 3309 3308 2013-01-02 51 DAIRY 1014.000
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## 3311 3310 2013-01-02 51 EGGS 435.000
## 3312 3311 2013-01-02 51 FROZEN FOODS 235.036
## 3313 3312 2013-01-02 51 GROCERY I 5051.000
## 3314 3313 2013-01-02 51 GROCERY II 50.000
## 3315 3314 2013-01-02 51 HARDWARE 1.000
## 3316 3315 2013-01-02 51 HOME AND KITCHEN I 0.000
## 3317 3316 2013-01-02 51 HOME AND KITCHEN II 0.000
## 3318 3317 2013-01-02 51 HOME APPLIANCES 0.000
## 3319 3318 2013-01-02 51 HOME CARE 0.000
## 3320 3319 2013-01-02 51 LADIESWEAR 0.000
## 3321 3320 2013-01-02 51 LAWN AND GARDEN 2.000
## 3322 3321 2013-01-02 51 LINGERIE 2.000
## 3323 3322 2013-01-02 51 LIQUOR,WINE,BEER 65.000
## 3324 3323 2013-01-02 51 MAGAZINES 0.000
## 3325 3324 2013-01-02 51 MEATS 757.924
## 3326 3325 2013-01-02 51 PERSONAL CARE 391.000
## 3327 3326 2013-01-02 51 PET SUPPLIES 0.000
## 3328 3327 2013-01-02 51 PLAYERS AND ELECTRONICS 0.000
## 3329 3328 2013-01-02 51 POULTRY 469.826
## 3330 3329 2013-01-02 51 PREPARED FOODS 240.710
## 3331 3330 2013-01-02 51 PRODUCE 0.000
## 3332 3331 2013-01-02 51 SCHOOL AND OFFICE SUPPLIES 0.000
## 3333 3332 2013-01-02 51 SEAFOOD 97.801
## 3334 3333 2013-01-02 52 AUTOMOTIVE 0.000
## 3335 3334 2013-01-02 52 BABY CARE 0.000
## 3336 3335 2013-01-02 52 BEAUTY 0.000
## 3337 3336 2013-01-02 52 BEVERAGES 0.000
## 3338 3337 2013-01-02 52 BOOKS 0.000
## 3339 3338 2013-01-02 52 BREAD/BAKERY 0.000
## 3340 3339 2013-01-02 52 CELEBRATION 0.000
## 3341 3340 2013-01-02 52 CLEANING 0.000
## 3342 3341 2013-01-02 52 DAIRY 0.000
## 3343 3342 2013-01-02 52 DELI 0.000
## 3344 3343 2013-01-02 52 EGGS 0.000
## 3345 3344 2013-01-02 52 FROZEN FOODS 0.000
## 3346 3345 2013-01-02 52 GROCERY I 0.000
## 3347 3346 2013-01-02 52 GROCERY II 0.000
## 3348 3347 2013-01-02 52 HARDWARE 0.000
## 3349 3348 2013-01-02 52 HOME AND KITCHEN I 0.000
## 3350 3349 2013-01-02 52 HOME AND KITCHEN II 0.000
## 3351 3350 2013-01-02 52 HOME APPLIANCES 0.000
## 3352 3351 2013-01-02 52 HOME CARE 0.000
## 3353 3352 2013-01-02 52 LADIESWEAR 0.000
## 3354 3353 2013-01-02 52 LAWN AND GARDEN 0.000
## 3355 3354 2013-01-02 52 LINGERIE 0.000
## 3356 3355 2013-01-02 52 LIQUOR,WINE,BEER 0.000
## 3357 3356 2013-01-02 52 MAGAZINES 0.000
## 3358 3357 2013-01-02 52 MEATS 0.000
## 3359 3358 2013-01-02 52 PERSONAL CARE 0.000
## 3360 3359 2013-01-02 52 PET SUPPLIES 0.000
## 3361 3360 2013-01-02 52 PLAYERS AND ELECTRONICS 0.000
## 3362 3361 2013-01-02 52 POULTRY 0.000
## 3363 3362 2013-01-02 52 PREPARED FOODS 0.000
## 3364 3363 2013-01-02 52 PRODUCE 0.000
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## 3366 3365 2013-01-02 52 SEAFOOD 0.000
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## 3368 3367 2013-01-02 53 BABY CARE 0.000
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## 3370 3369 2013-01-02 53 BEVERAGES 0.000
## 3371 3370 2013-01-02 53 BOOKS 0.000
## 3372 3371 2013-01-02 53 BREAD/BAKERY 0.000
## 3373 3372 2013-01-02 53 CELEBRATION 0.000
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## 3377 3376 2013-01-02 53 EGGS 0.000
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## 3379 3378 2013-01-02 53 GROCERY I 0.000
## 3380 3379 2013-01-02 53 GROCERY II 0.000
## 3381 3380 2013-01-02 53 HARDWARE 0.000
## 3382 3381 2013-01-02 53 HOME AND KITCHEN I 0.000
## 3383 3382 2013-01-02 53 HOME AND KITCHEN II 0.000
## 3384 3383 2013-01-02 53 HOME APPLIANCES 0.000
## 3385 3384 2013-01-02 53 HOME CARE 0.000
## 3386 3385 2013-01-02 53 LADIESWEAR 0.000
## 3387 3386 2013-01-02 53 LAWN AND GARDEN 0.000
## 3388 3387 2013-01-02 53 LINGERIE 0.000
## 3389 3388 2013-01-02 53 LIQUOR,WINE,BEER 0.000
## 3390 3389 2013-01-02 53 MAGAZINES 0.000
## 3391 3390 2013-01-02 53 MEATS 0.000
## 3392 3391 2013-01-02 53 PERSONAL CARE 0.000
## 3393 3392 2013-01-02 53 PET SUPPLIES 0.000
## 3394 3393 2013-01-02 53 PLAYERS AND ELECTRONICS 0.000
## 3395 3394 2013-01-02 53 POULTRY 0.000
## 3396 3395 2013-01-02 53 PREPARED FOODS 0.000
## 3397 3396 2013-01-02 53 PRODUCE 0.000
## 3398 3397 2013-01-02 53 SCHOOL AND OFFICE SUPPLIES 0.000
## 3399 3398 2013-01-02 53 SEAFOOD 0.000
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## 3401 3400 2013-01-02 54 BABY CARE 0.000
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## 3403 3402 2013-01-02 54 BEVERAGES 597.000
## 3404 3403 2013-01-02 54 BOOKS 0.000
## 3405 3404 2013-01-02 54 BREAD/BAKERY 257.000
## 3406 3405 2013-01-02 54 CELEBRATION 0.000
## 3407 3406 2013-01-02 54 CLEANING 1090.000
## 3408 3407 2013-01-02 54 DAIRY 33.000
## 3409 3408 2013-01-02 54 DELI 166.000
## 3410 3409 2013-01-02 54 EGGS 49.000
## 3411 3410 2013-01-02 54 FROZEN FOODS 10.000
## 3412 3411 2013-01-02 54 GROCERY I 2348.000
## 3413 3412 2013-01-02 54 GROCERY II 17.000
## 3414 3413 2013-01-02 54 HARDWARE 0.000
## 3415 3414 2013-01-02 54 HOME AND KITCHEN I 0.000
## 3416 3415 2013-01-02 54 HOME AND KITCHEN II 0.000
## 3417 3416 2013-01-02 54 HOME APPLIANCES 2.000
## 3418 3417 2013-01-02 54 HOME CARE 0.000
## 3419 3418 2013-01-02 54 LADIESWEAR 0.000
## 3420 3419 2013-01-02 54 LAWN AND GARDEN 0.000
## 3421 3420 2013-01-02 54 LINGERIE 0.000
## 3422 3421 2013-01-02 54 LIQUOR,WINE,BEER 18.000
## 3423 3422 2013-01-02 54 MAGAZINES 0.000
## 3424 3423 2013-01-02 54 MEATS 73.771
## 3425 3424 2013-01-02 54 PERSONAL CARE 228.000
## 3426 3425 2013-01-02 54 PET SUPPLIES 0.000
## 3427 3426 2013-01-02 54 PLAYERS AND ELECTRONICS 0.000
## 3428 3427 2013-01-02 54 POULTRY 15.514
## 3429 3428 2013-01-02 54 PREPARED FOODS 61.000
## 3430 3429 2013-01-02 54 PRODUCE 0.000
## 3431 3430 2013-01-02 54 SCHOOL AND OFFICE SUPPLIES 0.000
## 3432 3431 2013-01-02 54 SEAFOOD 3.000
## 3433 3432 2013-01-02 6 AUTOMOTIVE 3.000
## 3434 3433 2013-01-02 6 BABY CARE 0.000
## 3435 3434 2013-01-02 6 BEAUTY 11.000
## 3436 3435 2013-01-02 6 BEVERAGES 1693.000
## 3437 3436 2013-01-02 6 BOOKS 0.000
## 3438 3437 2013-01-02 6 BREAD/BAKERY 689.217
## 3439 3438 2013-01-02 6 CELEBRATION 0.000
## 3440 3439 2013-01-02 6 CLEANING 1826.000
## 3441 3440 2013-01-02 6 DAIRY 683.000
## 3442 3441 2013-01-02 6 DELI 459.660
## 3443 3442 2013-01-02 6 EGGS 360.000
## 3444 3443 2013-01-02 6 FROZEN FOODS 216.279
## 3445 3444 2013-01-02 6 GROCERY I 5535.000
## 3446 3445 2013-01-02 6 GROCERY II 42.000
## 3447 3446 2013-01-02 6 HARDWARE 0.000
## 3448 3447 2013-01-02 6 HOME AND KITCHEN I 0.000
## 3449 3448 2013-01-02 6 HOME AND KITCHEN II 0.000
## 3450 3449 2013-01-02 6 HOME APPLIANCES 0.000
## 3451 3450 2013-01-02 6 HOME CARE 0.000
## 3452 3451 2013-01-02 6 LADIESWEAR 0.000
## 3453 3452 2013-01-02 6 LAWN AND GARDEN 3.000
## 3454 3453 2013-01-02 6 LINGERIE 2.000
## 3455 3454 2013-01-02 6 LIQUOR,WINE,BEER 39.000
## 3456 3455 2013-01-02 6 MAGAZINES 0.000
## 3457 3456 2013-01-02 6 MEATS 612.151
## 3458 3457 2013-01-02 6 PERSONAL CARE 533.000
## 3459 3458 2013-01-02 6 PET SUPPLIES 0.000
## 3460 3459 2013-01-02 6 PLAYERS AND ELECTRONICS 0.000
## 3461 3460 2013-01-02 6 POULTRY 587.206
## 3462 3461 2013-01-02 6 PREPARED FOODS 171.434
## 3463 3462 2013-01-02 6 PRODUCE 0.000
## 3464 3463 2013-01-02 6 SCHOOL AND OFFICE SUPPLIES 0.000
## 3465 3464 2013-01-02 6 SEAFOOD 54.538
## 3466 3465 2013-01-02 7 AUTOMOTIVE 8.000
## 3467 3466 2013-01-02 7 BABY CARE 0.000
## 3468 3467 2013-01-02 7 BEAUTY 3.000
## 3469 3468 2013-01-02 7 BEVERAGES 2277.000
## 3470 3469 2013-01-02 7 BOOKS 0.000
## 3471 3470 2013-01-02 7 BREAD/BAKERY 692.634
## 3472 3471 2013-01-02 7 CELEBRATION 0.000
## 3473 3472 2013-01-02 7 CLEANING 1666.000
## 3474 3473 2013-01-02 7 DAIRY 871.000
## 3475 3474 2013-01-02 7 DELI 207.440
## 3476 3475 2013-01-02 7 EGGS 426.000
## 3477 3476 2013-01-02 7 FROZEN FOODS 281.743
## 3478 3477 2013-01-02 7 GROCERY I 4172.000
## 3479 3478 2013-01-02 7 GROCERY II 44.000
## 3480 3479 2013-01-02 7 HARDWARE 0.000
## 3481 3480 2013-01-02 7 HOME AND KITCHEN I 0.000
## 3482 3481 2013-01-02 7 HOME AND KITCHEN II 0.000
## 3483 3482 2013-01-02 7 HOME APPLIANCES 4.000
## 3484 3483 2013-01-02 7 HOME CARE 0.000
## 3485 3484 2013-01-02 7 LADIESWEAR 0.000
## 3486 3485 2013-01-02 7 LAWN AND GARDEN 9.000
## 3487 3486 2013-01-02 7 LINGERIE 13.000
## 3488 3487 2013-01-02 7 LIQUOR,WINE,BEER 78.000
## 3489 3488 2013-01-02 7 MAGAZINES 0.000
## 3490 3489 2013-01-02 7 MEATS 475.592
## 3491 3490 2013-01-02 7 PERSONAL CARE 225.000
## 3492 3491 2013-01-02 7 PET SUPPLIES 0.000
## 3493 3492 2013-01-02 7 PLAYERS AND ELECTRONICS 0.000
## 3494 3493 2013-01-02 7 POULTRY 316.341
## 3495 3494 2013-01-02 7 PREPARED FOODS 168.000
## 3496 3495 2013-01-02 7 PRODUCE 0.000
## 3497 3496 2013-01-02 7 SCHOOL AND OFFICE SUPPLIES 0.000
## 3498 3497 2013-01-02 7 SEAFOOD 59.752
## 3499 3498 2013-01-02 8 AUTOMOTIVE 7.000
## 3500 3499 2013-01-02 8 BABY CARE 0.000
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## 3502 3501 2013-01-02 8 BEVERAGES 2424.000
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## 3504 3503 2013-01-02 8 BREAD/BAKERY 768.050
## 3505 3504 2013-01-02 8 CELEBRATION 0.000
## 3506 3505 2013-01-02 8 CLEANING 1904.000
## 3507 3506 2013-01-02 8 DAIRY 1153.000
## 3508 3507 2013-01-02 8 DELI 372.230
## 3509 3508 2013-01-02 8 EGGS 450.000
## 3510 3509 2013-01-02 8 FROZEN FOODS 326.195
## 3511 3510 2013-01-02 8 GROCERY I 5277.000
## 3512 3511 2013-01-02 8 GROCERY II 51.000
## 3513 3512 2013-01-02 8 HARDWARE 0.000
## 3514 3513 2013-01-02 8 HOME AND KITCHEN I 0.000
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## 3517 3516 2013-01-02 8 HOME CARE 0.000
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## 3519 3518 2013-01-02 8 LAWN AND GARDEN 18.000
## 3520 3519 2013-01-02 8 LINGERIE 50.000
## 3521 3520 2013-01-02 8 LIQUOR,WINE,BEER 80.000
## 3522 3521 2013-01-02 8 MAGAZINES 0.000
## 3523 3522 2013-01-02 8 MEATS 630.400
## 3524 3523 2013-01-02 8 PERSONAL CARE 443.000
## 3525 3524 2013-01-02 8 PET SUPPLIES 0.000
## 3526 3525 2013-01-02 8 PLAYERS AND ELECTRONICS 0.000
## 3527 3526 2013-01-02 8 POULTRY 364.081
## 3528 3527 2013-01-02 8 PREPARED FOODS 266.088
## 3529 3528 2013-01-02 8 PRODUCE 0.000
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## 3531 3530 2013-01-02 8 SEAFOOD 72.284
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## 3533 3532 2013-01-02 9 BABY CARE 0.000
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## 3535 3534 2013-01-02 9 BEVERAGES 1309.000
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## 3537 3536 2013-01-02 9 BREAD/BAKERY 1001.000
## 3538 3537 2013-01-02 9 CELEBRATION 0.000
## 3539 3538 2013-01-02 9 CLEANING 2624.000
## 3540 3539 2013-01-02 9 DAIRY 473.000
## 3541 3540 2013-01-02 9 DELI 725.902
## 3542 3541 2013-01-02 9 EGGS 237.000
## 3543 3542 2013-01-02 9 FROZEN FOODS 88.545
## 3544 3543 2013-01-02 9 GROCERY I 7718.000
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## 3554 3553 2013-01-02 9 LIQUOR,WINE,BEER 22.000
## 3555 3554 2013-01-02 9 MAGAZINES 0.000
## 3556 3555 2013-01-02 9 MEATS 374.531
## 3557 3556 2013-01-02 9 PERSONAL CARE 482.000
## 3558 3557 2013-01-02 9 PET SUPPLIES 0.000
## 3559 3558 2013-01-02 9 PLAYERS AND ELECTRONICS 0.000
## 3560 3559 2013-01-02 9 POULTRY 651.292
## 3561 3560 2013-01-02 9 PREPARED FOODS 83.000
## 3562 3561 2013-01-02 9 PRODUCE 0.000
## 3563 3562 2013-01-02 9 SCHOOL AND OFFICE SUPPLIES 0.000
## 3564 3563 2013-01-02 9 SEAFOOD 29.214
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## 3568 3567 2013-01-03 1 BEVERAGES 919.000
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## 3571 3570 2013-01-03 1 CELEBRATION 0.000
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## 3575 3574 2013-01-03 1 EGGS 203.000
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## 3577 3576 2013-01-03 1 GROCERY I 2121.000
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## 3587 3586 2013-01-03 1 LIQUOR,WINE,BEER 66.000
## 3588 3587 2013-01-03 1 MAGAZINES 0.000
## 3589 3588 2013-01-03 1 MEATS 272.319
## 3590 3589 2013-01-03 1 PERSONAL CARE 153.000
## 3591 3590 2013-01-03 1 PET SUPPLIES 0.000
## 3592 3591 2013-01-03 1 PLAYERS AND ELECTRONICS 0.000
## 3593 3592 2013-01-03 1 POULTRY 187.278
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## 3604 3603 2013-01-03 10 CELEBRATION 0.000
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## 3608 3607 2013-01-03 10 EGGS 38.000
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## 3621 3620 2013-01-03 10 MAGAZINES 0.000
## 3622 3621 2013-01-03 10 MEATS 279.743
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## 3625 3624 2013-01-03 10 PLAYERS AND ELECTRONICS 0.000
## 3626 3625 2013-01-03 10 POULTRY 148.317
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## 3655 3654 2013-01-03 11 MEATS 677.962
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## 3704 3703 2013-01-03 13 CLEANING 844.000
## 3705 3704 2013-01-03 13 DAIRY 113.000
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## 3715 3714 2013-01-03 13 HOME CARE 0.000
## 3716 3715 2013-01-03 13 LADIESWEAR 0.000
## 3717 3716 2013-01-03 13 LAWN AND GARDEN 0.000
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## 3719 3718 2013-01-03 13 LIQUOR,WINE,BEER 20.000
## 3720 3719 2013-01-03 13 MAGAZINES 0.000
## 3721 3720 2013-01-03 13 MEATS 86.622
## 3722 3721 2013-01-03 13 PERSONAL CARE 210.000
## 3723 3722 2013-01-03 13 PET SUPPLIES 0.000
## 3724 3723 2013-01-03 13 PLAYERS AND ELECTRONICS 0.000
## 3725 3724 2013-01-03 13 POULTRY 66.828
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## 3738 3737 2013-01-03 14 DAIRY 124.000
## 3739 3738 2013-01-03 14 DELI 160.000
## 3740 3739 2013-01-03 14 EGGS 61.000
## 3741 3740 2013-01-03 14 FROZEN FOODS 53.680
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## 3757 3756 2013-01-03 14 PLAYERS AND ELECTRONICS 0.000
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## 3790 3789 2013-01-03 15 PLAYERS AND ELECTRONICS 0.000
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## 3823 3822 2013-01-03 16 PLAYERS AND ELECTRONICS 0.000
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## 3856 3855 2013-01-03 17 PLAYERS AND ELECTRONICS 0.000
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## 3889 3888 2013-01-03 18 PLAYERS AND ELECTRONICS 0.000
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## 4103 4102 2013-01-03 24 EGGS 244.000
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## 4112 4111 2013-01-03 24 LADIESWEAR 0.000
## 4113 4112 2013-01-03 24 LAWN AND GARDEN 7.000
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## 4117 4116 2013-01-03 24 MEATS 443.188
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## 4120 4119 2013-01-03 24 PLAYERS AND ELECTRONICS 0.000
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## 4125 4124 2013-01-03 24 SEAFOOD 49.490
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## 4136 4135 2013-01-03 25 EGGS 112.000
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## 4153 4152 2013-01-03 25 PLAYERS AND ELECTRONICS 0.000
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## 5277 5276 2013-01-03 7 PREPARED FOODS 116.000
## 5278 5277 2013-01-03 7 PRODUCE 0.000
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## 5287 5286 2013-01-03 8 CELEBRATION 0.000
## 5288 5287 2013-01-03 8 CLEANING 1396.000
## 5289 5288 2013-01-03 8 DAIRY 783.000
## 5290 5289 2013-01-03 8 DELI 254.395
## 5291 5290 2013-01-03 8 EGGS 326.000
## 5292 5291 2013-01-03 8 FROZEN FOODS 181.477
## 5293 5292 2013-01-03 8 GROCERY I 3783.000
## 5294 5293 2013-01-03 8 GROCERY II 36.000
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## 5300 5299 2013-01-03 8 LADIESWEAR 0.000
## 5301 5300 2013-01-03 8 LAWN AND GARDEN 3.000
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## 5305 5304 2013-01-03 8 MEATS 554.311
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## 5308 5307 2013-01-03 8 PLAYERS AND ELECTRONICS 0.000
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## 5320 5319 2013-01-03 9 CELEBRATION 0.000
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## 5407 5406 2013-01-04 10 PLAYERS AND ELECTRONICS 0.000
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## 7247 7246 2013-01-05 12 LADIESWEAR 0.000
## 7248 7247 2013-01-05 12 LAWN AND GARDEN 0.000
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## 7250 7249 2013-01-05 12 LIQUOR,WINE,BEER 61.000
## 7251 7250 2013-01-05 12 MAGAZINES 0.000
## 7252 7251 2013-01-05 12 MEATS 131.851
## 7253 7252 2013-01-05 12 PERSONAL CARE 131.000
## 7254 7253 2013-01-05 12 PET SUPPLIES 0.000
## 7255 7254 2013-01-05 12 PLAYERS AND ELECTRONICS 0.000
## 7256 7255 2013-01-05 12 POULTRY 49.035
## 7257 7256 2013-01-05 12 PREPARED FOODS 23.000
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## 7266 7265 2013-01-05 13 BREAD/BAKERY 208.000
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## 7271 7270 2013-01-05 13 EGGS 34.000
## 7272 7271 2013-01-05 13 FROZEN FOODS 13.291
## 7273 7272 2013-01-05 13 GROCERY I 2897.000
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## 7288 7287 2013-01-05 13 PLAYERS AND ELECTRONICS 0.000
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## 8435 8434 2013-01-05 45 LADIESWEAR 0.000
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## 8443 8442 2013-01-05 45 PLAYERS AND ELECTRONICS 0.000
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## 8813 8812 2013-01-05 7 BABY CARE 0.000
## 8814 8813 2013-01-05 7 BEAUTY 4.000
## 8815 8814 2013-01-05 7 BEVERAGES 1828.000
## 8816 8815 2013-01-05 7 BOOKS 0.000
## 8817 8816 2013-01-05 7 BREAD/BAKERY 450.655
## 8818 8817 2013-01-05 7 CELEBRATION 0.000
## 8819 8818 2013-01-05 7 CLEANING 948.000
## 8820 8819 2013-01-05 7 DAIRY 694.000
## 8821 8820 2013-01-05 7 DELI 148.047
## 8822 8821 2013-01-05 7 EGGS 261.000
## 8823 8822 2013-01-05 7 FROZEN FOODS 157.929
## 8824 8823 2013-01-05 7 GROCERY I 2662.000
## 8825 8824 2013-01-05 7 GROCERY II 36.000
## 8826 8825 2013-01-05 7 HARDWARE 1.000
## 8827 8826 2013-01-05 7 HOME AND KITCHEN I 0.000
## 8828 8827 2013-01-05 7 HOME AND KITCHEN II 0.000
## 8829 8828 2013-01-05 7 HOME APPLIANCES 0.000
## 8830 8829 2013-01-05 7 HOME CARE 0.000
## 8831 8830 2013-01-05 7 LADIESWEAR 0.000
## 8832 8831 2013-01-05 7 LAWN AND GARDEN 5.000
## 8833 8832 2013-01-05 7 LINGERIE 7.000
## 8834 8833 2013-01-05 7 LIQUOR,WINE,BEER 241.000
## 8835 8834 2013-01-05 7 MAGAZINES 0.000
## 8836 8835 2013-01-05 7 MEATS 520.699
## 8837 8836 2013-01-05 7 PERSONAL CARE 199.000
## 8838 8837 2013-01-05 7 PET SUPPLIES 0.000
## 8839 8838 2013-01-05 7 PLAYERS AND ELECTRONICS 0.000
## 8840 8839 2013-01-05 7 POULTRY 273.336
## 8841 8840 2013-01-05 7 PREPARED FOODS 139.000
## 8842 8841 2013-01-05 7 PRODUCE 0.000
## 8843 8842 2013-01-05 7 SCHOOL AND OFFICE SUPPLIES 0.000
## 8844 8843 2013-01-05 7 SEAFOOD 31.940
## 8845 8844 2013-01-05 8 AUTOMOTIVE 10.000
## 8846 8845 2013-01-05 8 BABY CARE 0.000
## 8847 8846 2013-01-05 8 BEAUTY 8.000
## 8848 8847 2013-01-05 8 BEVERAGES 2968.000
## 8849 8848 2013-01-05 8 BOOKS 0.000
## 8850 8849 2013-01-05 8 BREAD/BAKERY 731.277
## 8851 8850 2013-01-05 8 CELEBRATION 0.000
## 8852 8851 2013-01-05 8 CLEANING 1661.000
## 8853 8852 2013-01-05 8 DAIRY 1033.000
## 8854 8853 2013-01-05 8 DELI 321.274
## 8855 8854 2013-01-05 8 EGGS 434.000
## 8856 8855 2013-01-05 8 FROZEN FOODS 223.486
## 8857 8856 2013-01-05 8 GROCERY I 4857.000
## 8858 8857 2013-01-05 8 GROCERY II 71.000
## 8859 8858 2013-01-05 8 HARDWARE 1.000
## 8860 8859 2013-01-05 8 HOME AND KITCHEN I 0.000
## 8861 8860 2013-01-05 8 HOME AND KITCHEN II 0.000
## 8862 8861 2013-01-05 8 HOME APPLIANCES 0.000
## 8863 8862 2013-01-05 8 HOME CARE 0.000
## 8864 8863 2013-01-05 8 LADIESWEAR 0.000
## 8865 8864 2013-01-05 8 LAWN AND GARDEN 6.000
## 8866 8865 2013-01-05 8 LINGERIE 25.000
## 8867 8866 2013-01-05 8 LIQUOR,WINE,BEER 186.000
## 8868 8867 2013-01-05 8 MAGAZINES 0.000
## 8869 8868 2013-01-05 8 MEATS 608.860
## 8870 8869 2013-01-05 8 PERSONAL CARE 431.000
## 8871 8870 2013-01-05 8 PET SUPPLIES 0.000
## 8872 8871 2013-01-05 8 PLAYERS AND ELECTRONICS 0.000
## 8873 8872 2013-01-05 8 POULTRY 317.585
## 8874 8873 2013-01-05 8 PREPARED FOODS 326.606
## 8875 8874 2013-01-05 8 PRODUCE 0.000
## 8876 8875 2013-01-05 8 SCHOOL AND OFFICE SUPPLIES 0.000
## 8877 8876 2013-01-05 8 SEAFOOD 57.611
## 8878 8877 2013-01-05 9 AUTOMOTIVE 27.000
## 8879 8878 2013-01-05 9 BABY CARE 0.000
## 8880 8879 2013-01-05 9 BEAUTY 9.000
## 8881 8880 2013-01-05 9 BEVERAGES 1415.000
## 8882 8881 2013-01-05 9 BOOKS 0.000
## 8883 8882 2013-01-05 9 BREAD/BAKERY 631.000
## 8884 8883 2013-01-05 9 CELEBRATION 0.000
## 8885 8884 2013-01-05 9 CLEANING 2259.000
## 8886 8885 2013-01-05 9 DAIRY 416.000
## 8887 8886 2013-01-05 9 DELI 472.871
## 8888 8887 2013-01-05 9 EGGS 145.000
## 8889 8888 2013-01-05 9 FROZEN FOODS 92.274
## 8890 8889 2013-01-05 9 GROCERY I 5951.000
## 8891 8890 2013-01-05 9 GROCERY II 23.000
## 8892 8891 2013-01-05 9 HARDWARE 10.000
## 8893 8892 2013-01-05 9 HOME AND KITCHEN I 0.000
## 8894 8893 2013-01-05 9 HOME AND KITCHEN II 0.000
## 8895 8894 2013-01-05 9 HOME APPLIANCES 0.000
## 8896 8895 2013-01-05 9 HOME CARE 0.000
## 8897 8896 2013-01-05 9 LADIESWEAR 0.000
## 8898 8897 2013-01-05 9 LAWN AND GARDEN 1.000
## 8899 8898 2013-01-05 9 LINGERIE 7.000
## 8900 8899 2013-01-05 9 LIQUOR,WINE,BEER 66.000
## 8901 8900 2013-01-05 9 MAGAZINES 0.000
## 8902 8901 2013-01-05 9 MEATS 447.685
## 8903 8902 2013-01-05 9 PERSONAL CARE 461.000
## 8904 8903 2013-01-05 9 PET SUPPLIES 0.000
## 8905 8904 2013-01-05 9 PLAYERS AND ELECTRONICS 0.000
## 8906 8905 2013-01-05 9 POULTRY 510.919
## 8907 8906 2013-01-05 9 PREPARED FOODS 84.000
## 8908 8907 2013-01-05 9 PRODUCE 0.000
## 8909 8908 2013-01-05 9 SCHOOL AND OFFICE SUPPLIES 0.000
## 8910 8909 2013-01-05 9 SEAFOOD 28.361
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## 8912 8911 2013-01-06 1 BABY CARE 0.000
## 8913 8912 2013-01-06 1 BEAUTY 0.000
## 8914 8913 2013-01-06 1 BEVERAGES 407.000
## 8915 8914 2013-01-06 1 BOOKS 0.000
## 8916 8915 2013-01-06 1 BREAD/BAKERY 147.182
## 8917 8916 2013-01-06 1 CELEBRATION 0.000
## 8918 8917 2013-01-06 1 CLEANING 257.000
## 8919 8918 2013-01-06 1 DAIRY 212.000
## 8920 8919 2013-01-06 1 DELI 60.135
## 8921 8920 2013-01-06 1 EGGS 85.000
## 8922 8921 2013-01-06 1 FROZEN FOODS 32.730
## 8923 8922 2013-01-06 1 GROCERY I 723.000
## 8924 8923 2013-01-06 1 GROCERY II 5.000
## 8925 8924 2013-01-06 1 HARDWARE 2.000
## 8926 8925 2013-01-06 1 HOME AND KITCHEN I 0.000
## 8927 8926 2013-01-06 1 HOME AND KITCHEN II 0.000
## 8928 8927 2013-01-06 1 HOME APPLIANCES 0.000
## 8929 8928 2013-01-06 1 HOME CARE 0.000
## 8930 8929 2013-01-06 1 LADIESWEAR 0.000
## 8931 8930 2013-01-06 1 LAWN AND GARDEN 0.000
## 8932 8931 2013-01-06 1 LINGERIE 0.000
## 8933 8932 2013-01-06 1 LIQUOR,WINE,BEER 0.000
## 8934 8933 2013-01-06 1 MAGAZINES 0.000
## 8935 8934 2013-01-06 1 MEATS 113.282
## 8936 8935 2013-01-06 1 PERSONAL CARE 49.000
## 8937 8936 2013-01-06 1 PET SUPPLIES 0.000
## 8938 8937 2013-01-06 1 PLAYERS AND ELECTRONICS 0.000
## 8939 8938 2013-01-06 1 POULTRY 73.758
## 8940 8939 2013-01-06 1 PREPARED FOODS 25.000
## 8941 8940 2013-01-06 1 PRODUCE 0.000
## 8942 8941 2013-01-06 1 SCHOOL AND OFFICE SUPPLIES 0.000
## 8943 8942 2013-01-06 1 SEAFOOD 5.000
## 8944 8943 2013-01-06 10 AUTOMOTIVE 0.000
## 8945 8944 2013-01-06 10 BABY CARE 0.000
## 8946 8945 2013-01-06 10 BEAUTY 2.000
## 8947 8946 2013-01-06 10 BEVERAGES 615.000
## 8948 8947 2013-01-06 10 BOOKS 0.000
## 8949 8948 2013-01-06 10 BREAD/BAKERY 125.000
## 8950 8949 2013-01-06 10 CELEBRATION 0.000
## 8951 8950 2013-01-06 10 CLEANING 1122.000
## 8952 8951 2013-01-06 10 DAIRY 109.000
## 8953 8952 2013-01-06 10 DELI 312.000
## 8954 8953 2013-01-06 10 EGGS 41.000
## 8955 8954 2013-01-06 10 FROZEN FOODS 27.125
## 8956 8955 2013-01-06 10 GROCERY I 2665.000
## 8957 8956 2013-01-06 10 GROCERY II 2.000
## 8958 8957 2013-01-06 10 HARDWARE 1.000
## 8959 8958 2013-01-06 10 HOME AND KITCHEN I 0.000
## 8960 8959 2013-01-06 10 HOME AND KITCHEN II 0.000
## 8961 8960 2013-01-06 10 HOME APPLIANCES 0.000
## 8962 8961 2013-01-06 10 HOME CARE 0.000
## 8963 8962 2013-01-06 10 LADIESWEAR 0.000
## 8964 8963 2013-01-06 10 LAWN AND GARDEN 0.000
## 8965 8964 2013-01-06 10 LINGERIE 2.000
## 8966 8965 2013-01-06 10 LIQUOR,WINE,BEER 0.000
## 8967 8966 2013-01-06 10 MAGAZINES 0.000
## 8968 8967 2013-01-06 10 MEATS 284.974
## 8969 8968 2013-01-06 10 PERSONAL CARE 234.000
## 8970 8969 2013-01-06 10 PET SUPPLIES 0.000
## 8971 8970 2013-01-06 10 PLAYERS AND ELECTRONICS 0.000
## 8972 8971 2013-01-06 10 POULTRY 161.954
## 8973 8972 2013-01-06 10 PREPARED FOODS 10.000
## 8974 8973 2013-01-06 10 PRODUCE 0.000
## 8975 8974 2013-01-06 10 SCHOOL AND OFFICE SUPPLIES 0.000
## 8976 8975 2013-01-06 10 SEAFOOD 8.000
## 8977 8976 2013-01-06 11 AUTOMOTIVE 11.000
## 8978 8977 2013-01-06 11 BABY CARE 0.000
## 8979 8978 2013-01-06 11 BEAUTY 8.000
## 8980 8979 2013-01-06 11 BEVERAGES 2433.000
## 8981 8980 2013-01-06 11 BOOKS 0.000
## 8982 8981 2013-01-06 11 BREAD/BAKERY 647.000
## 8983 8982 2013-01-06 11 CELEBRATION 0.000
## 8984 8983 2013-01-06 11 CLEANING 3168.000
## 8985 8984 2013-01-06 11 DAIRY 239.000
## 8986 8985 2013-01-06 11 DELI 456.019
## 8987 8986 2013-01-06 11 EGGS 102.000
## 8988 8987 2013-01-06 11 FROZEN FOODS 50.000
## 8989 8988 2013-01-06 11 GROCERY I 6740.000
## 8990 8989 2013-01-06 11 GROCERY II 12.000
## 8991 8990 2013-01-06 11 HARDWARE 1.000
## 8992 8991 2013-01-06 11 HOME AND KITCHEN I 0.000
## 8993 8992 2013-01-06 11 HOME AND KITCHEN II 0.000
## 8994 8993 2013-01-06 11 HOME APPLIANCES 0.000
## 8995 8994 2013-01-06 11 HOME CARE 0.000
## 8996 8995 2013-01-06 11 LADIESWEAR 0.000
## 8997 8996 2013-01-06 11 LAWN AND GARDEN 2.000
## 8998 8997 2013-01-06 11 LINGERIE 12.000
## 8999 8998 2013-01-06 11 LIQUOR,WINE,BEER 0.000
## 9000 8999 2013-01-06 11 MAGAZINES 0.000
## 9001 9000 2013-01-06 11 MEATS 734.615
## 9002 9001 2013-01-06 11 PERSONAL CARE 588.000
## 9003 9002 2013-01-06 11 PET SUPPLIES 0.000
## 9004 9003 2013-01-06 11 PLAYERS AND ELECTRONICS 0.000
## 9005 9004 2013-01-06 11 POULTRY 485.642
## 9006 9005 2013-01-06 11 PREPARED FOODS 45.000
## 9007 9006 2013-01-06 11 PRODUCE 0.000
## 9008 9007 2013-01-06 11 SCHOOL AND OFFICE SUPPLIES 0.000
## 9009 9008 2013-01-06 11 SEAFOOD 5.000
## 9010 9009 2013-01-06 12 AUTOMOTIVE 9.000
## 9011 9010 2013-01-06 12 BABY CARE 0.000
## 9012 9011 2013-01-06 12 BEAUTY 1.000
## 9013 9012 2013-01-06 12 BEVERAGES 992.000
## 9014 9013 2013-01-06 12 BOOKS 0.000
## 9015 9014 2013-01-06 12 BREAD/BAKERY 357.000
## 9016 9015 2013-01-06 12 CELEBRATION 0.000
## 9017 9016 2013-01-06 12 CLEANING 866.000
## 9018 9017 2013-01-06 12 DAIRY 174.000
## 9019 9018 2013-01-06 12 DELI 160.000
## 9020 9019 2013-01-06 12 EGGS 78.000
## 9021 9020 2013-01-06 12 FROZEN FOODS 42.298
## 9022 9021 2013-01-06 12 GROCERY I 2523.000
## 9023 9022 2013-01-06 12 GROCERY II 13.000
## 9024 9023 2013-01-06 12 HARDWARE 8.000
## 9025 9024 2013-01-06 12 HOME AND KITCHEN I 0.000
## 9026 9025 2013-01-06 12 HOME AND KITCHEN II 0.000
## 9027 9026 2013-01-06 12 HOME APPLIANCES 0.000
## 9028 9027 2013-01-06 12 HOME CARE 0.000
## 9029 9028 2013-01-06 12 LADIESWEAR 0.000
## 9030 9029 2013-01-06 12 LAWN AND GARDEN 0.000
## 9031 9030 2013-01-06 12 LINGERIE 8.000
## 9032 9031 2013-01-06 12 LIQUOR,WINE,BEER 0.000
## 9033 9032 2013-01-06 12 MAGAZINES 0.000
## 9034 9033 2013-01-06 12 MEATS 191.236
## 9035 9034 2013-01-06 12 PERSONAL CARE 203.000
## 9036 9035 2013-01-06 12 PET SUPPLIES 0.000
## 9037 9036 2013-01-06 12 PLAYERS AND ELECTRONICS 0.000
## 9038 9037 2013-01-06 12 POULTRY 104.775
## 9039 9038 2013-01-06 12 PREPARED FOODS 30.000
## 9040 9039 2013-01-06 12 PRODUCE 0.000
## 9041 9040 2013-01-06 12 SCHOOL AND OFFICE SUPPLIES 0.000
## 9042 9041 2013-01-06 12 SEAFOOD 2.000
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## 9044 9043 2013-01-06 13 BABY CARE 0.000
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## 9046 9045 2013-01-06 13 BEVERAGES 724.000
## 9047 9046 2013-01-06 13 BOOKS 0.000
## 9048 9047 2013-01-06 13 BREAD/BAKERY 255.000
## 9049 9048 2013-01-06 13 CELEBRATION 0.000
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## 9051 9050 2013-01-06 13 DAIRY 114.000
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## 9053 9052 2013-01-06 13 EGGS 39.000
## 9054 9053 2013-01-06 13 FROZEN FOODS 15.000
## 9055 9054 2013-01-06 13 GROCERY I 2135.000
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## 9061 9060 2013-01-06 13 HOME CARE 0.000
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## 9063 9062 2013-01-06 13 LAWN AND GARDEN 0.000
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## 9065 9064 2013-01-06 13 LIQUOR,WINE,BEER 0.000
## 9066 9065 2013-01-06 13 MAGAZINES 0.000
## 9067 9066 2013-01-06 13 MEATS 137.601
## 9068 9067 2013-01-06 13 PERSONAL CARE 153.000
## 9069 9068 2013-01-06 13 PET SUPPLIES 0.000
## 9070 9069 2013-01-06 13 PLAYERS AND ELECTRONICS 0.000
## 9071 9070 2013-01-06 13 POULTRY 86.294
## 9072 9071 2013-01-06 13 PREPARED FOODS 16.000
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## 9075 9074 2013-01-06 13 SEAFOOD 3.000
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## 9082 9081 2013-01-06 14 CELEBRATION 0.000
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## 9086 9085 2013-01-06 14 EGGS 41.000
## 9087 9086 2013-01-06 14 FROZEN FOODS 29.805
## 9088 9087 2013-01-06 14 GROCERY I 2176.000
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## 9094 9093 2013-01-06 14 HOME CARE 0.000
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## 9096 9095 2013-01-06 14 LAWN AND GARDEN 0.000
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## 9100 9099 2013-01-06 14 MEATS 279.705
## 9101 9100 2013-01-06 14 PERSONAL CARE 204.000
## 9102 9101 2013-01-06 14 PET SUPPLIES 0.000
## 9103 9102 2013-01-06 14 PLAYERS AND ELECTRONICS 0.000
## 9104 9103 2013-01-06 14 POULTRY 96.003
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## 9112 9111 2013-01-06 15 BEVERAGES 867.000
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## 10386 10385 2013-01-06 5 MAGAZINES 0.000
## 10387 10386 2013-01-06 5 MEATS 536.733
## 10388 10387 2013-01-06 5 PERSONAL CARE 489.000
## 10389 10388 2013-01-06 5 PET SUPPLIES 0.000
## 10390 10389 2013-01-06 5 PLAYERS AND ELECTRONICS 0.000
## 10391 10390 2013-01-06 5 POULTRY 268.455
## 10392 10391 2013-01-06 5 PREPARED FOODS 147.000
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## 10394 10393 2013-01-06 5 SCHOOL AND OFFICE SUPPLIES 0.000
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## 10397 10396 2013-01-06 50 BABY CARE 0.000
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## 10400 10399 2013-01-06 50 BOOKS 0.000
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## 10402 10401 2013-01-06 50 CELEBRATION 0.000
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## 10406 10405 2013-01-06 50 EGGS 216.000
## 10407 10406 2013-01-06 50 FROZEN FOODS 164.000
## 10408 10407 2013-01-06 50 GROCERY I 7558.000
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## 10420 10419 2013-01-06 50 MEATS 895.259
## 10421 10420 2013-01-06 50 PERSONAL CARE 698.000
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## 10423 10422 2013-01-06 50 PLAYERS AND ELECTRONICS 0.000
## 10424 10423 2013-01-06 50 POULTRY 524.591
## 10425 10424 2013-01-06 50 PREPARED FOODS 248.796
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## 10440 10439 2013-01-06 51 FROZEN FOODS 200.139
## 10441 10440 2013-01-06 51 GROCERY I 5633.000
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## 10453 10452 2013-01-06 51 MEATS 760.576
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## 10456 10455 2013-01-06 51 PLAYERS AND ELECTRONICS 0.000
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## 10458 10457 2013-01-06 51 PREPARED FOODS 192.267
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## 10783 10782 2013-01-07 11 MEATS 845.054
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## 10786 10785 2013-01-07 11 PLAYERS AND ELECTRONICS 0.000
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## 11570 11569 2013-01-07 33 LADIESWEAR 0.000
## 11571 11570 2013-01-07 33 LAWN AND GARDEN 0.000
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## 11573 11572 2013-01-07 33 LIQUOR,WINE,BEER 33.000
## 11574 11573 2013-01-07 33 MAGAZINES 0.000
## 11575 11574 2013-01-07 33 MEATS 129.755
## 11576 11575 2013-01-07 33 PERSONAL CARE 244.000
## 11577 11576 2013-01-07 33 PET SUPPLIES 0.000
## 11578 11577 2013-01-07 33 PLAYERS AND ELECTRONICS 0.000
## 11579 11578 2013-01-07 33 POULTRY 109.643
## 11580 11579 2013-01-07 33 PREPARED FOODS 24.000
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## 11582 11581 2013-01-07 33 SCHOOL AND OFFICE SUPPLIES 0.000
## 11583 11582 2013-01-07 33 SEAFOOD 1.000
## 11584 11583 2013-01-07 34 AUTOMOTIVE 2.000
## 11585 11584 2013-01-07 34 BABY CARE 0.000
## 11586 11585 2013-01-07 34 BEAUTY 0.000
## 11587 11586 2013-01-07 34 BEVERAGES 982.000
## 11588 11587 2013-01-07 34 BOOKS 0.000
## 11589 11588 2013-01-07 34 BREAD/BAKERY 572.000
## 11590 11589 2013-01-07 34 CELEBRATION 0.000
## 11591 11590 2013-01-07 34 CLEANING 801.000
## 11592 11591 2013-01-07 34 DAIRY 174.000
## 11593 11592 2013-01-07 34 DELI 257.538
## 11594 11593 2013-01-07 34 EGGS 48.000
## 11595 11594 2013-01-07 34 FROZEN FOODS 36.805
## 11596 11595 2013-01-07 34 GROCERY I 2579.000
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## 11611 11610 2013-01-07 34 PLAYERS AND ELECTRONICS 0.000
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## 11959 11958 2013-01-07 44 GROCERY I 7059.000
## 11960 11959 2013-01-07 44 GROCERY II 70.000
## 11961 11960 2013-01-07 44 HARDWARE 11.000
## 11962 11961 2013-01-07 44 HOME AND KITCHEN I 0.000
## 11963 11962 2013-01-07 44 HOME AND KITCHEN II 0.000
## 11964 11963 2013-01-07 44 HOME APPLIANCES 0.000
## 11965 11964 2013-01-07 44 HOME CARE 0.000
## 11966 11965 2013-01-07 44 LADIESWEAR 0.000
## 11967 11966 2013-01-07 44 LAWN AND GARDEN 0.000
## 11968 11967 2013-01-07 44 LINGERIE 17.000
## 11969 11968 2013-01-07 44 LIQUOR,WINE,BEER 157.000
## 11970 11969 2013-01-07 44 MAGAZINES 0.000
## 11971 11970 2013-01-07 44 MEATS 1004.881
## 11972 11971 2013-01-07 44 PERSONAL CARE 538.000
## 11973 11972 2013-01-07 44 PET SUPPLIES 0.000
## 11974 11973 2013-01-07 44 PLAYERS AND ELECTRONICS 0.000
## 11975 11974 2013-01-07 44 POULTRY 616.595
## 11976 11975 2013-01-07 44 PREPARED FOODS 428.161
## 11977 11976 2013-01-07 44 PRODUCE 0.000
## 11978 11977 2013-01-07 44 SCHOOL AND OFFICE SUPPLIES 0.000
## 11979 11978 2013-01-07 44 SEAFOOD 87.913
## 11980 11979 2013-01-07 45 AUTOMOTIVE 6.000
## 11981 11980 2013-01-07 45 BABY CARE 0.000
## 11982 11981 2013-01-07 45 BEAUTY 12.000
## 11983 11982 2013-01-07 45 BEVERAGES 3074.000
## 11984 11983 2013-01-07 45 BOOKS 0.000
## 11985 11984 2013-01-07 45 BREAD/BAKERY 751.950
## 11986 11985 2013-01-07 45 CELEBRATION 0.000
## 11987 11986 2013-01-07 45 CLEANING 2167.000
## 11988 11987 2013-01-07 45 DAIRY 879.000
## 11989 11988 2013-01-07 45 DELI 456.696
## 11990 11989 2013-01-07 45 EGGS 379.000
## 11991 11990 2013-01-07 45 FROZEN FOODS 343.080
## 11992 11991 2013-01-07 45 GROCERY I 6629.000
## 11993 11992 2013-01-07 45 GROCERY II 43.000
## 11994 11993 2013-01-07 45 HARDWARE 4.000
## 11995 11994 2013-01-07 45 HOME AND KITCHEN I 0.000
## 11996 11995 2013-01-07 45 HOME AND KITCHEN II 0.000
## 11997 11996 2013-01-07 45 HOME APPLIANCES 2.000
## 11998 11997 2013-01-07 45 HOME CARE 0.000
## 11999 11998 2013-01-07 45 LADIESWEAR 0.000
## 12000 11999 2013-01-07 45 LAWN AND GARDEN 5.000
## 12001 12000 2013-01-07 45 LINGERIE 5.000
## 12002 12001 2013-01-07 45 LIQUOR,WINE,BEER 94.000
## 12003 12002 2013-01-07 45 MAGAZINES 0.000
## 12004 12003 2013-01-07 45 MEATS 1040.472
## 12005 12004 2013-01-07 45 PERSONAL CARE 455.000
## 12006 12005 2013-01-07 45 PET SUPPLIES 0.000
## 12007 12006 2013-01-07 45 PLAYERS AND ELECTRONICS 0.000
## 12008 12007 2013-01-07 45 POULTRY 701.946
## 12009 12008 2013-01-07 45 PREPARED FOODS 168.082
## 12010 12009 2013-01-07 45 PRODUCE 0.000
## 12011 12010 2013-01-07 45 SCHOOL AND OFFICE SUPPLIES 0.000
## 12012 12011 2013-01-07 45 SEAFOOD 93.737
## 12013 12012 2013-01-07 46 AUTOMOTIVE 15.000
## 12014 12013 2013-01-07 46 BABY CARE 0.000
## 12015 12014 2013-01-07 46 BEAUTY 7.000
## 12016 12015 2013-01-07 46 BEVERAGES 1941.000
## 12017 12016 2013-01-07 46 BOOKS 0.000
## 12018 12017 2013-01-07 46 BREAD/BAKERY 412.856
## 12019 12018 2013-01-07 46 CELEBRATION 0.000
## 12020 12019 2013-01-07 46 CLEANING 2026.000
## 12021 12020 2013-01-07 46 DAIRY 623.000
## 12022 12021 2013-01-07 46 DELI 568.203
## 12023 12022 2013-01-07 46 EGGS 193.000
## 12024 12023 2013-01-07 46 FROZEN FOODS 244.851
## 12025 12024 2013-01-07 46 GROCERY I 5827.000
## 12026 12025 2013-01-07 46 GROCERY II 48.000
## 12027 12026 2013-01-07 46 HARDWARE 1.000
## 12028 12027 2013-01-07 46 HOME AND KITCHEN I 0.000
## 12029 12028 2013-01-07 46 HOME AND KITCHEN II 0.000
## 12030 12029 2013-01-07 46 HOME APPLIANCES 2.000
## 12031 12030 2013-01-07 46 HOME CARE 0.000
## 12032 12031 2013-01-07 46 LADIESWEAR 0.000
## 12033 12032 2013-01-07 46 LAWN AND GARDEN 2.000
## 12034 12033 2013-01-07 46 LINGERIE 11.000
## 12035 12034 2013-01-07 46 LIQUOR,WINE,BEER 56.000
## 12036 12035 2013-01-07 46 MAGAZINES 0.000
## 12037 12036 2013-01-07 46 MEATS 1425.584
## 12038 12037 2013-01-07 46 PERSONAL CARE 591.000
## 12039 12038 2013-01-07 46 PET SUPPLIES 0.000
## 12040 12039 2013-01-07 46 PLAYERS AND ELECTRONICS 0.000
## 12041 12040 2013-01-07 46 POULTRY 644.025
## 12042 12041 2013-01-07 46 PREPARED FOODS 156.802
## 12043 12042 2013-01-07 46 PRODUCE 0.000
## 12044 12043 2013-01-07 46 SCHOOL AND OFFICE SUPPLIES 0.000
## 12045 12044 2013-01-07 46 SEAFOOD 40.528
## 12046 12045 2013-01-07 47 AUTOMOTIVE 13.000
## 12047 12046 2013-01-07 47 BABY CARE 0.000
## 12048 12047 2013-01-07 47 BEAUTY 7.000
## 12049 12048 2013-01-07 47 BEVERAGES 2378.000
## 12050 12049 2013-01-07 47 BOOKS 0.000
## 12051 12050 2013-01-07 47 BREAD/BAKERY 775.286
## 12052 12051 2013-01-07 47 CELEBRATION 0.000
## 12053 12052 2013-01-07 47 CLEANING 2057.000
## 12054 12053 2013-01-07 47 DAIRY 864.000
## 12055 12054 2013-01-07 47 DELI 473.572
## 12056 12055 2013-01-07 47 EGGS 293.000
## 12057 12056 2013-01-07 47 FROZEN FOODS 204.693
## 12058 12057 2013-01-07 47 GROCERY I 6375.000
## 12059 12058 2013-01-07 47 GROCERY II 41.000
## 12060 12059 2013-01-07 47 HARDWARE 0.000
## 12061 12060 2013-01-07 47 HOME AND KITCHEN I 0.000
## 12062 12061 2013-01-07 47 HOME AND KITCHEN II 0.000
## 12063 12062 2013-01-07 47 HOME APPLIANCES 0.000
## 12064 12063 2013-01-07 47 HOME CARE 0.000
## 12065 12064 2013-01-07 47 LADIESWEAR 0.000
## 12066 12065 2013-01-07 47 LAWN AND GARDEN 10.000
## 12067 12066 2013-01-07 47 LINGERIE 7.000
## 12068 12067 2013-01-07 47 LIQUOR,WINE,BEER 80.000
## 12069 12068 2013-01-07 47 MAGAZINES 0.000
## 12070 12069 2013-01-07 47 MEATS 708.705
## 12071 12070 2013-01-07 47 PERSONAL CARE 570.000
## 12072 12071 2013-01-07 47 PET SUPPLIES 0.000
## 12073 12072 2013-01-07 47 PLAYERS AND ELECTRONICS 0.000
## 12074 12073 2013-01-07 47 POULTRY 703.133
## 12075 12074 2013-01-07 47 PREPARED FOODS 233.419
## 12076 12075 2013-01-07 47 PRODUCE 0.000
## 12077 12076 2013-01-07 47 SCHOOL AND OFFICE SUPPLIES 0.000
## 12078 12077 2013-01-07 47 SEAFOOD 89.190
## 12079 12078 2013-01-07 48 AUTOMOTIVE 3.000
## 12080 12079 2013-01-07 48 BABY CARE 0.000
## 12081 12080 2013-01-07 48 BEAUTY 4.000
## 12082 12081 2013-01-07 48 BEVERAGES 1341.000
## 12083 12082 2013-01-07 48 BOOKS 0.000
## 12084 12083 2013-01-07 48 BREAD/BAKERY 423.626
## 12085 12084 2013-01-07 48 CELEBRATION 0.000
## 12086 12085 2013-01-07 48 CLEANING 1760.000
## 12087 12086 2013-01-07 48 DAIRY 442.000
## 12088 12087 2013-01-07 48 DELI 552.265
## 12089 12088 2013-01-07 48 EGGS 128.000
## 12090 12089 2013-01-07 48 FROZEN FOODS 193.157
## 12091 12090 2013-01-07 48 GROCERY I 5077.000
## 12092 12091 2013-01-07 48 GROCERY II 13.000
## 12093 12092 2013-01-07 48 HARDWARE 1.000
## 12094 12093 2013-01-07 48 HOME AND KITCHEN I 0.000
## 12095 12094 2013-01-07 48 HOME AND KITCHEN II 0.000
## 12096 12095 2013-01-07 48 HOME APPLIANCES 0.000
## 12097 12096 2013-01-07 48 HOME CARE 0.000
## 12098 12097 2013-01-07 48 LADIESWEAR 0.000
## 12099 12098 2013-01-07 48 LAWN AND GARDEN 0.000
## 12100 12099 2013-01-07 48 LINGERIE 7.000
## 12101 12100 2013-01-07 48 LIQUOR,WINE,BEER 45.000
## 12102 12101 2013-01-07 48 MAGAZINES 0.000
## 12103 12102 2013-01-07 48 MEATS 1164.990
## 12104 12103 2013-01-07 48 PERSONAL CARE 545.000
## 12105 12104 2013-01-07 48 PET SUPPLIES 0.000
## 12106 12105 2013-01-07 48 PLAYERS AND ELECTRONICS 0.000
## 12107 12106 2013-01-07 48 POULTRY 632.709
## 12108 12107 2013-01-07 48 PREPARED FOODS 107.750
## 12109 12108 2013-01-07 48 PRODUCE 0.000
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## 12111 12110 2013-01-07 48 SEAFOOD 26.410
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## 12113 12112 2013-01-07 49 BABY CARE 0.000
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## 12115 12114 2013-01-07 49 BEVERAGES 1921.000
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## 12117 12116 2013-01-07 49 BREAD/BAKERY 448.104
## 12118 12117 2013-01-07 49 CELEBRATION 0.000
## 12119 12118 2013-01-07 49 CLEANING 1267.000
## 12120 12119 2013-01-07 49 DAIRY 670.000
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## 12122 12121 2013-01-07 49 EGGS 250.000
## 12123 12122 2013-01-07 49 FROZEN FOODS 183.000
## 12124 12123 2013-01-07 49 GROCERY I 3622.000
## 12125 12124 2013-01-07 49 GROCERY II 22.000
## 12126 12125 2013-01-07 49 HARDWARE 1.000
## 12127 12126 2013-01-07 49 HOME AND KITCHEN I 0.000
## 12128 12127 2013-01-07 49 HOME AND KITCHEN II 0.000
## 12129 12128 2013-01-07 49 HOME APPLIANCES 0.000
## 12130 12129 2013-01-07 49 HOME CARE 0.000
## 12131 12130 2013-01-07 49 LADIESWEAR 0.000
## 12132 12131 2013-01-07 49 LAWN AND GARDEN 2.000
## 12133 12132 2013-01-07 49 LINGERIE 2.000
## 12134 12133 2013-01-07 49 LIQUOR,WINE,BEER 56.000
## 12135 12134 2013-01-07 49 MAGAZINES 0.000
## 12136 12135 2013-01-07 49 MEATS 479.053
## 12137 12136 2013-01-07 49 PERSONAL CARE 246.000
## 12138 12137 2013-01-07 49 PET SUPPLIES 0.000
## 12139 12138 2013-01-07 49 PLAYERS AND ELECTRONICS 0.000
## 12140 12139 2013-01-07 49 POULTRY 243.086
## 12141 12140 2013-01-07 49 PREPARED FOODS 173.411
## 12142 12141 2013-01-07 49 PRODUCE 0.000
## 12143 12142 2013-01-07 49 SCHOOL AND OFFICE SUPPLIES 0.000
## 12144 12143 2013-01-07 49 SEAFOOD 50.386
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## 12146 12145 2013-01-07 5 BABY CARE 0.000
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## 12148 12147 2013-01-07 5 BEVERAGES 575.000
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## 12151 12150 2013-01-07 5 CELEBRATION 0.000
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## 12153 12152 2013-01-07 5 DAIRY 321.000
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## 12155 12154 2013-01-07 5 EGGS 165.000
## 12156 12155 2013-01-07 5 FROZEN FOODS 121.755
## 12157 12156 2013-01-07 5 GROCERY I 2801.000
## 12158 12157 2013-01-07 5 GROCERY II 8.000
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## 12163 12162 2013-01-07 5 HOME CARE 0.000
## 12164 12163 2013-01-07 5 LADIESWEAR 0.000
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## 12167 12166 2013-01-07 5 LIQUOR,WINE,BEER 29.000
## 12168 12167 2013-01-07 5 MAGAZINES 0.000
## 12169 12168 2013-01-07 5 MEATS 227.992
## 12170 12169 2013-01-07 5 PERSONAL CARE 279.000
## 12171 12170 2013-01-07 5 PET SUPPLIES 0.000
## 12172 12171 2013-01-07 5 PLAYERS AND ELECTRONICS 0.000
## 12173 12172 2013-01-07 5 POULTRY 156.690
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## 12181 12180 2013-01-07 50 BEVERAGES 1311.000
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## 12184 12183 2013-01-07 50 CELEBRATION 0.000
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## 12188 12187 2013-01-07 50 EGGS 121.000
## 12189 12188 2013-01-07 50 FROZEN FOODS 88.000
## 12190 12189 2013-01-07 50 GROCERY I 5109.000
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## 12196 12195 2013-01-07 50 HOME CARE 0.000
## 12197 12196 2013-01-07 50 LADIESWEAR 0.000
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## 12201 12200 2013-01-07 50 MAGAZINES 0.000
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## 12204 12203 2013-01-07 50 PET SUPPLIES 0.000
## 12205 12204 2013-01-07 50 PLAYERS AND ELECTRONICS 0.000
## 12206 12205 2013-01-07 50 POULTRY 317.498
## 12207 12206 2013-01-07 50 PREPARED FOODS 166.503
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## 12214 12213 2013-01-07 51 BEVERAGES 2245.000
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## 12217 12216 2013-01-07 51 CELEBRATION 0.000
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## 12229 12228 2013-01-07 51 HOME CARE 0.000
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## 12234 12233 2013-01-07 51 MAGAZINES 0.000
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## 12238 12237 2013-01-07 51 PLAYERS AND ELECTRONICS 0.000
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## 12350 12349 2013-01-07 6 CLEANING 1130.000
## 12351 12350 2013-01-07 6 DAIRY 450.000
## 12352 12351 2013-01-07 6 DELI 224.323
## 12353 12352 2013-01-07 6 EGGS 189.000
## 12354 12353 2013-01-07 6 FROZEN FOODS 106.179
## 12355 12354 2013-01-07 6 GROCERY I 3363.000
## 12356 12355 2013-01-07 6 GROCERY II 29.000
## 12357 12356 2013-01-07 6 HARDWARE 2.000
## 12358 12357 2013-01-07 6 HOME AND KITCHEN I 0.000
## 12359 12358 2013-01-07 6 HOME AND KITCHEN II 0.000
## 12360 12359 2013-01-07 6 HOME APPLIANCES 0.000
## 12361 12360 2013-01-07 6 HOME CARE 0.000
## 12362 12361 2013-01-07 6 LADIESWEAR 0.000
## 12363 12362 2013-01-07 6 LAWN AND GARDEN 7.000
## 12364 12363 2013-01-07 6 LINGERIE 4.000
## 12365 12364 2013-01-07 6 LIQUOR,WINE,BEER 44.000
## 12366 12365 2013-01-07 6 MAGAZINES 0.000
## 12367 12366 2013-01-07 6 MEATS 461.928
## 12368 12367 2013-01-07 6 PERSONAL CARE 263.000
## 12369 12368 2013-01-07 6 PET SUPPLIES 0.000
## 12370 12369 2013-01-07 6 PLAYERS AND ELECTRONICS 0.000
## 12371 12370 2013-01-07 6 POULTRY 378.071
## 12372 12371 2013-01-07 6 PREPARED FOODS 105.191
## 12373 12372 2013-01-07 6 PRODUCE 0.000
## 12374 12373 2013-01-07 6 SCHOOL AND OFFICE SUPPLIES 0.000
## 12375 12374 2013-01-07 6 SEAFOOD 33.203
## 12376 12375 2013-01-07 7 AUTOMOTIVE 0.000
## 12377 12376 2013-01-07 7 BABY CARE 0.000
## 12378 12377 2013-01-07 7 BEAUTY 2.000
## 12379 12378 2013-01-07 7 BEVERAGES 1673.000
## 12380 12379 2013-01-07 7 BOOKS 0.000
## 12381 12380 2013-01-07 7 BREAD/BAKERY 536.747
## 12382 12381 2013-01-07 7 CELEBRATION 0.000
## 12383 12382 2013-01-07 7 CLEANING 1638.000
## 12384 12383 2013-01-07 7 DAIRY 700.000
## 12385 12384 2013-01-07 7 DELI 149.021
## 12386 12385 2013-01-07 7 EGGS 289.000
## 12387 12386 2013-01-07 7 FROZEN FOODS 159.911
## 12388 12387 2013-01-07 7 GROCERY I 3023.000
## 12389 12388 2013-01-07 7 GROCERY II 13.000
## 12390 12389 2013-01-07 7 HARDWARE 0.000
## 12391 12390 2013-01-07 7 HOME AND KITCHEN I 0.000
## 12392 12391 2013-01-07 7 HOME AND KITCHEN II 0.000
## 12393 12392 2013-01-07 7 HOME APPLIANCES 3.000
## 12394 12393 2013-01-07 7 HOME CARE 0.000
## 12395 12394 2013-01-07 7 LADIESWEAR 0.000
## 12396 12395 2013-01-07 7 LAWN AND GARDEN 4.000
## 12397 12396 2013-01-07 7 LINGERIE 27.000
## 12398 12397 2013-01-07 7 LIQUOR,WINE,BEER 61.000
## 12399 12398 2013-01-07 7 MAGAZINES 0.000
## 12400 12399 2013-01-07 7 MEATS 463.367
## 12401 12400 2013-01-07 7 PERSONAL CARE 189.000
## 12402 12401 2013-01-07 7 PET SUPPLIES 0.000
## 12403 12402 2013-01-07 7 PLAYERS AND ELECTRONICS 0.000
## 12404 12403 2013-01-07 7 POULTRY 395.692
## 12405 12404 2013-01-07 7 PREPARED FOODS 169.000
## 12406 12405 2013-01-07 7 PRODUCE 0.000
## 12407 12406 2013-01-07 7 SCHOOL AND OFFICE SUPPLIES 0.000
## 12408 12407 2013-01-07 7 SEAFOOD 55.671
## 12409 12408 2013-01-07 8 AUTOMOTIVE 8.000
## 12410 12409 2013-01-07 8 BABY CARE 0.000
## 12411 12410 2013-01-07 8 BEAUTY 8.000
## 12412 12411 2013-01-07 8 BEVERAGES 1700.000
## 12413 12412 2013-01-07 8 BOOKS 0.000
## 12414 12413 2013-01-07 8 BREAD/BAKERY 426.430
## 12415 12414 2013-01-07 8 CELEBRATION 0.000
## 12416 12415 2013-01-07 8 CLEANING 1382.000
## 12417 12416 2013-01-07 8 DAIRY 781.000
## 12418 12417 2013-01-07 8 DELI 205.619
## 12419 12418 2013-01-07 8 EGGS 265.000
## 12420 12419 2013-01-07 8 FROZEN FOODS 126.255
## 12421 12420 2013-01-07 8 GROCERY I 3418.000
## 12422 12421 2013-01-07 8 GROCERY II 45.000
## 12423 12422 2013-01-07 8 HARDWARE 2.000
## 12424 12423 2013-01-07 8 HOME AND KITCHEN I 0.000
## 12425 12424 2013-01-07 8 HOME AND KITCHEN II 0.000
## 12426 12425 2013-01-07 8 HOME APPLIANCES 0.000
## 12427 12426 2013-01-07 8 HOME CARE 0.000
## 12428 12427 2013-01-07 8 LADIESWEAR 0.000
## 12429 12428 2013-01-07 8 LAWN AND GARDEN 9.000
## 12430 12429 2013-01-07 8 LINGERIE 35.000
## 12431 12430 2013-01-07 8 LIQUOR,WINE,BEER 83.000
## 12432 12431 2013-01-07 8 MAGAZINES 0.000
## 12433 12432 2013-01-07 8 MEATS 463.980
## 12434 12433 2013-01-07 8 PERSONAL CARE 299.000
## 12435 12434 2013-01-07 8 PET SUPPLIES 0.000
## 12436 12435 2013-01-07 8 PLAYERS AND ELECTRONICS 0.000
## 12437 12436 2013-01-07 8 POULTRY 260.945
## 12438 12437 2013-01-07 8 PREPARED FOODS 197.144
## 12439 12438 2013-01-07 8 PRODUCE 0.000
## 12440 12439 2013-01-07 8 SCHOOL AND OFFICE SUPPLIES 0.000
## 12441 12440 2013-01-07 8 SEAFOOD 40.088
## 12442 12441 2013-01-07 9 AUTOMOTIVE 1.000
## 12443 12442 2013-01-07 9 BABY CARE 0.000
## 12444 12443 2013-01-07 9 BEAUTY 3.000
## 12445 12444 2013-01-07 9 BEVERAGES 1008.000
## 12446 12445 2013-01-07 9 BOOKS 0.000
## 12447 12446 2013-01-07 9 BREAD/BAKERY 637.000
## 12448 12447 2013-01-07 9 CELEBRATION 0.000
## 12449 12448 2013-01-07 9 CLEANING 1439.000
## 12450 12449 2013-01-07 9 DAIRY 268.000
## 12451 12450 2013-01-07 9 DELI 344.541
## 12452 12451 2013-01-07 9 EGGS 109.000
## 12453 12452 2013-01-07 9 FROZEN FOODS 15.000
## 12454 12453 2013-01-07 9 GROCERY I 3901.000
## 12455 12454 2013-01-07 9 GROCERY II 54.000
## 12456 12455 2013-01-07 9 HARDWARE 1.000
## 12457 12456 2013-01-07 9 HOME AND KITCHEN I 0.000
## 12458 12457 2013-01-07 9 HOME AND KITCHEN II 0.000
## 12459 12458 2013-01-07 9 HOME APPLIANCES 0.000
## 12460 12459 2013-01-07 9 HOME CARE 0.000
## 12461 12460 2013-01-07 9 LADIESWEAR 0.000
## 12462 12461 2013-01-07 9 LAWN AND GARDEN 0.000
## 12463 12462 2013-01-07 9 LINGERIE 9.000
## 12464 12463 2013-01-07 9 LIQUOR,WINE,BEER 14.000
## 12465 12464 2013-01-07 9 MAGAZINES 0.000
## 12466 12465 2013-01-07 9 MEATS 305.082
## 12467 12466 2013-01-07 9 PERSONAL CARE 358.000
## 12468 12467 2013-01-07 9 PET SUPPLIES 0.000
## 12469 12468 2013-01-07 9 PLAYERS AND ELECTRONICS 0.000
## 12470 12469 2013-01-07 9 POULTRY 435.082
## 12471 12470 2013-01-07 9 PREPARED FOODS 31.000
## 12472 12471 2013-01-07 9 PRODUCE 0.000
## 12473 12472 2013-01-07 9 SCHOOL AND OFFICE SUPPLIES 0.000
## 12474 12473 2013-01-07 9 SEAFOOD 18.444
## 12475 12474 2013-01-08 1 AUTOMOTIVE 2.000
## 12476 12475 2013-01-08 1 BABY CARE 0.000
## 12477 12476 2013-01-08 1 BEAUTY 3.000
## 12478 12477 2013-01-08 1 BEVERAGES 1029.000
## 12479 12478 2013-01-08 1 BOOKS 0.000
## 12480 12479 2013-01-08 1 BREAD/BAKERY 321.851
## 12481 12480 2013-01-08 1 CELEBRATION 0.000
## 12482 12481 2013-01-08 1 CLEANING 827.000
## 12483 12482 2013-01-08 1 DAIRY 384.000
## 12484 12483 2013-01-08 1 DELI 130.085
## 12485 12484 2013-01-08 1 EGGS 150.000
## 12486 12485 2013-01-08 1 FROZEN FOODS 84.000
## 12487 12486 2013-01-08 1 GROCERY I 1782.000
## 12488 12487 2013-01-08 1 GROCERY II 22.000
## 12489 12488 2013-01-08 1 HARDWARE 5.000
## 12490 12489 2013-01-08 1 HOME AND KITCHEN I 0.000
## 12491 12490 2013-01-08 1 HOME AND KITCHEN II 0.000
## 12492 12491 2013-01-08 1 HOME APPLIANCES 0.000
## 12493 12492 2013-01-08 1 HOME CARE 0.000
## 12494 12493 2013-01-08 1 LADIESWEAR 0.000
## 12495 12494 2013-01-08 1 LAWN AND GARDEN 3.000
## 12496 12495 2013-01-08 1 LINGERIE 19.000
## 12497 12496 2013-01-08 1 LIQUOR,WINE,BEER 86.000
## 12498 12497 2013-01-08 1 MAGAZINES 0.000
## 12499 12498 2013-01-08 1 MEATS 393.510
## 12500 12499 2013-01-08 1 PERSONAL CARE 119.000
## 12501 12500 2013-01-08 1 PET SUPPLIES 0.000
## 12502 12501 2013-01-08 1 PLAYERS AND ELECTRONICS 0.000
## 12503 12502 2013-01-08 1 POULTRY 165.968
## 12504 12503 2013-01-08 1 PREPARED FOODS 40.000
## 12505 12504 2013-01-08 1 PRODUCE 0.000
## 12506 12505 2013-01-08 1 SCHOOL AND OFFICE SUPPLIES 0.000
## 12507 12506 2013-01-08 1 SEAFOOD 30.767
## 12508 12507 2013-01-08 10 AUTOMOTIVE 2.000
## 12509 12508 2013-01-08 10 BABY CARE 0.000
## 12510 12509 2013-01-08 10 BEAUTY 2.000
## 12511 12510 2013-01-08 10 BEVERAGES 396.000
## 12512 12511 2013-01-08 10 BOOKS 0.000
## 12513 12512 2013-01-08 10 BREAD/BAKERY 105.000
## 12514 12513 2013-01-08 10 CELEBRATION 0.000
## 12515 12514 2013-01-08 10 CLEANING 674.000
## 12516 12515 2013-01-08 10 DAIRY 72.000
## 12517 12516 2013-01-08 10 DELI 138.000
## 12518 12517 2013-01-08 10 EGGS 21.000
## 12519 12518 2013-01-08 10 FROZEN FOODS 12.500
## 12520 12519 2013-01-08 10 GROCERY I 1758.000
## 12521 12520 2013-01-08 10 GROCERY II 2.000
## 12522 12521 2013-01-08 10 HARDWARE 0.000
## 12523 12522 2013-01-08 10 HOME AND KITCHEN I 0.000
## 12524 12523 2013-01-08 10 HOME AND KITCHEN II 0.000
## 12525 12524 2013-01-08 10 HOME APPLIANCES 0.000
## 12526 12525 2013-01-08 10 HOME CARE 0.000
## 12527 12526 2013-01-08 10 LADIESWEAR 0.000
## 12528 12527 2013-01-08 10 LAWN AND GARDEN 0.000
## 12529 12528 2013-01-08 10 LINGERIE 8.000
## 12530 12529 2013-01-08 10 LIQUOR,WINE,BEER 10.000
## 12531 12530 2013-01-08 10 MAGAZINES 0.000
## 12532 12531 2013-01-08 10 MEATS 224.672
## 12533 12532 2013-01-08 10 PERSONAL CARE 179.000
## 12534 12533 2013-01-08 10 PET SUPPLIES 0.000
## 12535 12534 2013-01-08 10 PLAYERS AND ELECTRONICS 0.000
## 12536 12535 2013-01-08 10 POULTRY 98.938
## 12537 12536 2013-01-08 10 PREPARED FOODS 9.000
## 12538 12537 2013-01-08 10 PRODUCE 0.000
## 12539 12538 2013-01-08 10 SCHOOL AND OFFICE SUPPLIES 0.000
## 12540 12539 2013-01-08 10 SEAFOOD 4.000
## 12541 12540 2013-01-08 11 AUTOMOTIVE 2.000
## 12542 12541 2013-01-08 11 BABY CARE 0.000
## 12543 12542 2013-01-08 11 BEAUTY 2.000
## 12544 12543 2013-01-08 11 BEVERAGES 1754.000
## 12545 12544 2013-01-08 11 BOOKS 0.000
## 12546 12545 2013-01-08 11 BREAD/BAKERY 448.000
## 12547 12546 2013-01-08 11 CELEBRATION 0.000
## 12548 12547 2013-01-08 11 CLEANING 1803.000
## 12549 12548 2013-01-08 11 DAIRY 160.000
## 12550 12549 2013-01-08 11 DELI 284.178
## 12551 12550 2013-01-08 11 EGGS 63.000
## 12552 12551 2013-01-08 11 FROZEN FOODS 36.075
## 12553 12552 2013-01-08 11 GROCERY I 4399.000
## 12554 12553 2013-01-08 11 GROCERY II 9.000
## 12555 12554 2013-01-08 11 HARDWARE 3.000
## 12556 12555 2013-01-08 11 HOME AND KITCHEN I 0.000
## 12557 12556 2013-01-08 11 HOME AND KITCHEN II 0.000
## 12558 12557 2013-01-08 11 HOME APPLIANCES 0.000
## 12559 12558 2013-01-08 11 HOME CARE 0.000
## 12560 12559 2013-01-08 11 LADIESWEAR 0.000
## 12561 12560 2013-01-08 11 LAWN AND GARDEN 0.000
## 12562 12561 2013-01-08 11 LINGERIE 5.000
## 12563 12562 2013-01-08 11 LIQUOR,WINE,BEER 18.000
## 12564 12563 2013-01-08 11 MAGAZINES 0.000
## 12565 12564 2013-01-08 11 MEATS 559.881
## 12566 12565 2013-01-08 11 PERSONAL CARE 332.000
## 12567 12566 2013-01-08 11 PET SUPPLIES 0.000
## 12568 12567 2013-01-08 11 PLAYERS AND ELECTRONICS 0.000
## 12569 12568 2013-01-08 11 POULTRY 285.949
## 12570 12569 2013-01-08 11 PREPARED FOODS 11.000
## 12571 12570 2013-01-08 11 PRODUCE 0.000
## 12572 12571 2013-01-08 11 SCHOOL AND OFFICE SUPPLIES 0.000
## 12573 12572 2013-01-08 11 SEAFOOD 7.000
## 12574 12573 2013-01-08 12 AUTOMOTIVE 5.000
## 12575 12574 2013-01-08 12 BABY CARE 0.000
## 12576 12575 2013-01-08 12 BEAUTY 2.000
## 12577 12576 2013-01-08 12 BEVERAGES 594.000
## 12578 12577 2013-01-08 12 BOOKS 0.000
## 12579 12578 2013-01-08 12 BREAD/BAKERY 194.000
## 12580 12579 2013-01-08 12 CELEBRATION 0.000
## 12581 12580 2013-01-08 12 CLEANING 738.000
## 12582 12581 2013-01-08 12 DAIRY 124.000
## 12583 12582 2013-01-08 12 DELI 122.000
## 12584 12583 2013-01-08 12 EGGS 33.000
## 12585 12584 2013-01-08 12 FROZEN FOODS 26.000
## 12586 12585 2013-01-08 12 GROCERY I 3756.000
## 12587 12586 2013-01-08 12 GROCERY II 3.000
## 12588 12587 2013-01-08 12 HARDWARE 0.000
## 12589 12588 2013-01-08 12 HOME AND KITCHEN I 0.000
## 12590 12589 2013-01-08 12 HOME AND KITCHEN II 0.000
## 12591 12590 2013-01-08 12 HOME APPLIANCES 0.000
## 12592 12591 2013-01-08 12 HOME CARE 0.000
## 12593 12592 2013-01-08 12 LADIESWEAR 0.000
## 12594 12593 2013-01-08 12 LAWN AND GARDEN 0.000
## 12595 12594 2013-01-08 12 LINGERIE 11.000
## 12596 12595 2013-01-08 12 LIQUOR,WINE,BEER 6.000
## 12597 12596 2013-01-08 12 MAGAZINES 0.000
## 12598 12597 2013-01-08 12 MEATS 180.539
## 12599 12598 2013-01-08 12 PERSONAL CARE 106.000
## 12600 12599 2013-01-08 12 PET SUPPLIES 0.000
## 12601 12600 2013-01-08 12 PLAYERS AND ELECTRONICS 0.000
## 12602 12601 2013-01-08 12 POULTRY 58.344
## 12603 12602 2013-01-08 12 PREPARED FOODS 28.000
## 12604 12603 2013-01-08 12 PRODUCE 0.000
## 12605 12604 2013-01-08 12 SCHOOL AND OFFICE SUPPLIES 0.000
## 12606 12605 2013-01-08 12 SEAFOOD 11.000
## 12607 12606 2013-01-08 13 AUTOMOTIVE 2.000
## 12608 12607 2013-01-08 13 BABY CARE 0.000
## 12609 12608 2013-01-08 13 BEAUTY 2.000
## 12610 12609 2013-01-08 13 BEVERAGES 703.000
## 12611 12610 2013-01-08 13 BOOKS 0.000
## 12612 12611 2013-01-08 13 BREAD/BAKERY 191.000
## 12613 12612 2013-01-08 13 CELEBRATION 0.000
## 12614 12613 2013-01-08 13 CLEANING 751.000
## 12615 12614 2013-01-08 13 DAIRY 91.000
## 12616 12615 2013-01-08 13 DELI 75.000
## 12617 12616 2013-01-08 13 EGGS 22.000
## 12618 12617 2013-01-08 13 FROZEN FOODS 16.850
## 12619 12618 2013-01-08 13 GROCERY I 1649.000
## 12620 12619 2013-01-08 13 GROCERY II 4.000
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## 12624 12623 2013-01-08 13 HOME APPLIANCES 0.000
## 12625 12624 2013-01-08 13 HOME CARE 0.000
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## 12627 12626 2013-01-08 13 LAWN AND GARDEN 0.000
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## 12629 12628 2013-01-08 13 LIQUOR,WINE,BEER 17.000
## 12630 12629 2013-01-08 13 MAGAZINES 0.000
## 12631 12630 2013-01-08 13 MEATS 156.194
## 12632 12631 2013-01-08 13 PERSONAL CARE 139.000
## 12633 12632 2013-01-08 13 PET SUPPLIES 0.000
## 12634 12633 2013-01-08 13 PLAYERS AND ELECTRONICS 0.000
## 12635 12634 2013-01-08 13 POULTRY 39.642
## 12636 12635 2013-01-08 13 PREPARED FOODS 25.000
## 12637 12636 2013-01-08 13 PRODUCE 0.000
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## 12641 12640 2013-01-08 14 BABY CARE 0.000
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## 12643 12642 2013-01-08 14 BEVERAGES 402.000
## 12644 12643 2013-01-08 14 BOOKS 0.000
## 12645 12644 2013-01-08 14 BREAD/BAKERY 218.000
## 12646 12645 2013-01-08 14 CELEBRATION 0.000
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## 12658 12657 2013-01-08 14 HOME CARE 0.000
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## 12662 12661 2013-01-08 14 LIQUOR,WINE,BEER 39.000
## 12663 12662 2013-01-08 14 MAGAZINES 0.000
## 12664 12663 2013-01-08 14 MEATS 470.754
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## 12667 12666 2013-01-08 14 PLAYERS AND ELECTRONICS 0.000
## 12668 12667 2013-01-08 14 POULTRY 58.902
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## 12707 12706 2013-01-08 16 BABY CARE 0.000
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## 12733 12732 2013-01-08 16 PLAYERS AND ELECTRONICS 0.000
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## 12742 12741 2013-01-08 17 BEVERAGES 969.000
## 12743 12742 2013-01-08 17 BOOKS 0.000
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## 12745 12744 2013-01-08 17 CELEBRATION 0.000
## 12746 12745 2013-01-08 17 CLEANING 857.000
## 12747 12746 2013-01-08 17 DAIRY 150.000
## 12748 12747 2013-01-08 17 DELI 207.000
## 12749 12748 2013-01-08 17 EGGS 55.000
## 12750 12749 2013-01-08 17 FROZEN FOODS 24.000
## 12751 12750 2013-01-08 17 GROCERY I 2088.000
## 12752 12751 2013-01-08 17 GROCERY II 2.000
## 12753 12752 2013-01-08 17 HARDWARE 0.000
## 12754 12753 2013-01-08 17 HOME AND KITCHEN I 0.000
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## 12757 12756 2013-01-08 17 HOME CARE 0.000
## 12758 12757 2013-01-08 17 LADIESWEAR 0.000
## 12759 12758 2013-01-08 17 LAWN AND GARDEN 0.000
## 12760 12759 2013-01-08 17 LINGERIE 4.000
## 12761 12760 2013-01-08 17 LIQUOR,WINE,BEER 10.000
## 12762 12761 2013-01-08 17 MAGAZINES 0.000
## 12763 12762 2013-01-08 17 MEATS 197.517
## 12764 12763 2013-01-08 17 PERSONAL CARE 112.000
## 12765 12764 2013-01-08 17 PET SUPPLIES 0.000
## 12766 12765 2013-01-08 17 PLAYERS AND ELECTRONICS 0.000
## 12767 12766 2013-01-08 17 POULTRY 120.250
## 12768 12767 2013-01-08 17 PREPARED FOODS 34.000
## 12769 12768 2013-01-08 17 PRODUCE 0.000
## 12770 12769 2013-01-08 17 SCHOOL AND OFFICE SUPPLIES 0.000
## 12771 12770 2013-01-08 17 SEAFOOD 6.000
## 12772 12771 2013-01-08 18 AUTOMOTIVE 1.000
## 12773 12772 2013-01-08 18 BABY CARE 0.000
## 12774 12773 2013-01-08 18 BEAUTY 0.000
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## 12776 12775 2013-01-08 18 BOOKS 0.000
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## 12778 12777 2013-01-08 18 CELEBRATION 0.000
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## 12780 12779 2013-01-08 18 DAIRY 196.000
## 12781 12780 2013-01-08 18 DELI 140.173
## 12782 12781 2013-01-08 18 EGGS 100.000
## 12783 12782 2013-01-08 18 FROZEN FOODS 37.000
## 12784 12783 2013-01-08 18 GROCERY I 1595.000
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## 12790 12789 2013-01-08 18 HOME CARE 0.000
## 12791 12790 2013-01-08 18 LADIESWEAR 0.000
## 12792 12791 2013-01-08 18 LAWN AND GARDEN 2.000
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## 12794 12793 2013-01-08 18 LIQUOR,WINE,BEER 19.000
## 12795 12794 2013-01-08 18 MAGAZINES 0.000
## 12796 12795 2013-01-08 18 MEATS 82.118
## 12797 12796 2013-01-08 18 PERSONAL CARE 98.000
## 12798 12797 2013-01-08 18 PET SUPPLIES 0.000
## 12799 12798 2013-01-08 18 PLAYERS AND ELECTRONICS 0.000
## 12800 12799 2013-01-08 18 POULTRY 86.721
## 12801 12800 2013-01-08 18 PREPARED FOODS 38.000
## 12802 12801 2013-01-08 18 PRODUCE 0.000
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## 12806 12805 2013-01-08 19 BABY CARE 0.000
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## 12815 12814 2013-01-08 19 EGGS 34.000
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## 12817 12816 2013-01-08 19 GROCERY I 1406.000
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## 12832 12831 2013-01-08 19 PLAYERS AND ELECTRONICS 0.000
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## 12865 12864 2013-01-08 2 PLAYERS AND ELECTRONICS 0.000
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## 13140 13139 2013-01-08 28 BREAD/BAKERY 372.000
## 13141 13140 2013-01-08 28 CELEBRATION 0.000
## 13142 13141 2013-01-08 28 CLEANING 558.000
## 13143 13142 2013-01-08 28 DAIRY 152.000
## 13144 13143 2013-01-08 28 DELI 120.162
## 13145 13144 2013-01-08 28 EGGS 73.000
## 13146 13145 2013-01-08 28 FROZEN FOODS 48.552
## 13147 13146 2013-01-08 28 GROCERY I 1618.000
## 13148 13147 2013-01-08 28 GROCERY II 6.000
## 13149 13148 2013-01-08 28 HARDWARE 0.000
## 13150 13149 2013-01-08 28 HOME AND KITCHEN I 0.000
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## 13153 13152 2013-01-08 28 HOME CARE 0.000
## 13154 13153 2013-01-08 28 LADIESWEAR 0.000
## 13155 13154 2013-01-08 28 LAWN AND GARDEN 0.000
## 13156 13155 2013-01-08 28 LINGERIE 1.000
## 13157 13156 2013-01-08 28 LIQUOR,WINE,BEER 9.000
## 13158 13157 2013-01-08 28 MAGAZINES 0.000
## 13159 13158 2013-01-08 28 MEATS 114.377
## 13160 13159 2013-01-08 28 PERSONAL CARE 145.000
## 13161 13160 2013-01-08 28 PET SUPPLIES 0.000
## 13162 13161 2013-01-08 28 PLAYERS AND ELECTRONICS 0.000
## 13163 13162 2013-01-08 28 POULTRY 140.810
## 13164 13163 2013-01-08 28 PREPARED FOODS 40.217
## 13165 13164 2013-01-08 28 PRODUCE 0.000
## 13166 13165 2013-01-08 28 SCHOOL AND OFFICE SUPPLIES 0.000
## 13167 13166 2013-01-08 28 SEAFOOD 3.000
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## 13169 13168 2013-01-08 29 BABY CARE 0.000
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## 13211 13210 2013-01-08 3 EGGS 416.000
## 13212 13211 2013-01-08 3 FROZEN FOODS 206.784
## 13213 13212 2013-01-08 3 GROCERY I 4802.000
## 13214 13213 2013-01-08 3 GROCERY II 56.000
## 13215 13214 2013-01-08 3 HARDWARE 4.000
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## 13224 13223 2013-01-08 3 MAGAZINES 0.000
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## 13228 13227 2013-01-08 3 PLAYERS AND ELECTRONICS 0.000
## 13229 13228 2013-01-08 3 POULTRY 500.023
## 13230 13229 2013-01-08 3 PREPARED FOODS 256.757
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## 13235 13234 2013-01-08 30 BABY CARE 0.000
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## 13244 13243 2013-01-08 30 EGGS 43.000
## 13245 13244 2013-01-08 30 FROZEN FOODS 12.000
## 13246 13245 2013-01-08 30 GROCERY I 961.000
## 13247 13246 2013-01-08 30 GROCERY II 4.000
## 13248 13247 2013-01-08 30 HARDWARE 1.000
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## 13252 13251 2013-01-08 30 HOME CARE 0.000
## 13253 13252 2013-01-08 30 LADIESWEAR 0.000
## 13254 13253 2013-01-08 30 LAWN AND GARDEN 0.000
## 13255 13254 2013-01-08 30 LINGERIE 4.000
## 13256 13255 2013-01-08 30 LIQUOR,WINE,BEER 46.000
## 13257 13256 2013-01-08 30 MAGAZINES 0.000
## 13258 13257 2013-01-08 30 MEATS 66.135
## 13259 13258 2013-01-08 30 PERSONAL CARE 62.000
## 13260 13259 2013-01-08 30 PET SUPPLIES 0.000
## 13261 13260 2013-01-08 30 PLAYERS AND ELECTRONICS 0.000
## 13262 13261 2013-01-08 30 POULTRY 62.065
## 13263 13262 2013-01-08 30 PREPARED FOODS 19.000
## 13264 13263 2013-01-08 30 PRODUCE 0.000
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## 13270 13269 2013-01-08 31 BEVERAGES 691.000
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## 13279 13278 2013-01-08 31 GROCERY I 2228.000
## 13280 13279 2013-01-08 31 GROCERY II 0.000
## 13281 13280 2013-01-08 31 HARDWARE 0.000
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## 13285 13284 2013-01-08 31 HOME CARE 0.000
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## 13290 13289 2013-01-08 31 MAGAZINES 0.000
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## 13292 13291 2013-01-08 31 PERSONAL CARE 211.000
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## 13294 13293 2013-01-08 31 PLAYERS AND ELECTRONICS 0.000
## 13295 13294 2013-01-08 31 POULTRY 87.310
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## 13327 13326 2013-01-08 32 PLAYERS AND ELECTRONICS 0.000
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## 13345 13344 2013-01-08 33 GROCERY I 2153.000
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## 13351 13350 2013-01-08 33 HOME CARE 0.000
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## 13360 13359 2013-01-08 33 PLAYERS AND ELECTRONICS 0.000
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## 13393 13392 2013-01-08 34 PLAYERS AND ELECTRONICS 0.000
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## 13492 13491 2013-01-08 37 PLAYERS AND ELECTRONICS 0.000
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## 13532 13531 2013-01-08 39 BABY CARE 0.000
## 13533 13532 2013-01-08 39 BEAUTY 2.000
## 13534 13533 2013-01-08 39 BEVERAGES 713.000
## 13535 13534 2013-01-08 39 BOOKS 0.000
## 13536 13535 2013-01-08 39 BREAD/BAKERY 807.000
## 13537 13536 2013-01-08 39 CELEBRATION 0.000
## 13538 13537 2013-01-08 39 CLEANING 1191.000
## 13539 13538 2013-01-08 39 DAIRY 176.000
## 13540 13539 2013-01-08 39 DELI 115.283
## 13541 13540 2013-01-08 39 EGGS 104.000
## 13542 13541 2013-01-08 39 FROZEN FOODS 39.270
## 13543 13542 2013-01-08 39 GROCERY I 2812.000
## 13544 13543 2013-01-08 39 GROCERY II 37.000
## 13545 13544 2013-01-08 39 HARDWARE 5.000
## 13546 13545 2013-01-08 39 HOME AND KITCHEN I 0.000
## 13547 13546 2013-01-08 39 HOME AND KITCHEN II 0.000
## 13548 13547 2013-01-08 39 HOME APPLIANCES 0.000
## 13549 13548 2013-01-08 39 HOME CARE 0.000
## 13550 13549 2013-01-08 39 LADIESWEAR 0.000
## 13551 13550 2013-01-08 39 LAWN AND GARDEN 1.000
## 13552 13551 2013-01-08 39 LINGERIE 11.000
## 13553 13552 2013-01-08 39 LIQUOR,WINE,BEER 35.000
## 13554 13553 2013-01-08 39 MAGAZINES 0.000
## 13555 13554 2013-01-08 39 MEATS 144.581
## 13556 13555 2013-01-08 39 PERSONAL CARE 260.000
## 13557 13556 2013-01-08 39 PET SUPPLIES 0.000
## 13558 13557 2013-01-08 39 PLAYERS AND ELECTRONICS 0.000
## 13559 13558 2013-01-08 39 POULTRY 67.609
## 13560 13559 2013-01-08 39 PREPARED FOODS 40.000
## 13561 13560 2013-01-08 39 PRODUCE 0.000
## 13562 13561 2013-01-08 39 SCHOOL AND OFFICE SUPPLIES 0.000
## 13563 13562 2013-01-08 39 SEAFOOD 15.406
## 13564 13563 2013-01-08 4 AUTOMOTIVE 4.000
## 13565 13564 2013-01-08 4 BABY CARE 0.000
## 13566 13565 2013-01-08 4 BEAUTY 4.000
## 13567 13566 2013-01-08 4 BEVERAGES 825.000
## 13568 13567 2013-01-08 4 BOOKS 0.000
## 13569 13568 2013-01-08 4 BREAD/BAKERY 245.660
## 13570 13569 2013-01-08 4 CELEBRATION 0.000
## 13571 13570 2013-01-08 4 CLEANING 871.000
## 13572 13571 2013-01-08 4 DAIRY 362.000
## 13573 13572 2013-01-08 4 DELI 159.925
## 13574 13573 2013-01-08 4 EGGS 129.000
## 13575 13574 2013-01-08 4 FROZEN FOODS 54.465
## 13576 13575 2013-01-08 4 GROCERY I 2274.000
## 13577 13576 2013-01-08 4 GROCERY II 22.000
## 13578 13577 2013-01-08 4 HARDWARE 1.000
## 13579 13578 2013-01-08 4 HOME AND KITCHEN I 0.000
## 13580 13579 2013-01-08 4 HOME AND KITCHEN II 0.000
## 13581 13580 2013-01-08 4 HOME APPLIANCES 0.000
## 13582 13581 2013-01-08 4 HOME CARE 0.000
## 13583 13582 2013-01-08 4 LADIESWEAR 0.000
## 13584 13583 2013-01-08 4 LAWN AND GARDEN 3.000
## 13585 13584 2013-01-08 4 LINGERIE 12.000
## 13586 13585 2013-01-08 4 LIQUOR,WINE,BEER 29.000
## 13587 13586 2013-01-08 4 MAGAZINES 0.000
## 13588 13587 2013-01-08 4 MEATS 401.840
## 13589 13588 2013-01-08 4 PERSONAL CARE 212.000
## 13590 13589 2013-01-08 4 PET SUPPLIES 0.000
## 13591 13590 2013-01-08 4 PLAYERS AND ELECTRONICS 0.000
## 13592 13591 2013-01-08 4 POULTRY 302.261
## 13593 13592 2013-01-08 4 PREPARED FOODS 83.460
## 13594 13593 2013-01-08 4 PRODUCE 0.000
## 13595 13594 2013-01-08 4 SCHOOL AND OFFICE SUPPLIES 0.000
## 13596 13595 2013-01-08 4 SEAFOOD 22.003
## 13597 13596 2013-01-08 40 AUTOMOTIVE 2.000
## 13598 13597 2013-01-08 40 BABY CARE 0.000
## 13599 13598 2013-01-08 40 BEAUTY 0.000
## 13600 13599 2013-01-08 40 BEVERAGES 864.000
## 13601 13600 2013-01-08 40 BOOKS 0.000
## 13602 13601 2013-01-08 40 BREAD/BAKERY 229.000
## 13603 13602 2013-01-08 40 CELEBRATION 0.000
## 13604 13603 2013-01-08 40 CLEANING 873.000
## 13605 13604 2013-01-08 40 DAIRY 110.000
## 13606 13605 2013-01-08 40 DELI 110.000
## 13607 13606 2013-01-08 40 EGGS 76.000
## 13608 13607 2013-01-08 40 FROZEN FOODS 14.604
## 13609 13608 2013-01-08 40 GROCERY I 1997.000
## 13610 13609 2013-01-08 40 GROCERY II 15.000
## 13611 13610 2013-01-08 40 HARDWARE 3.000
## 13612 13611 2013-01-08 40 HOME AND KITCHEN I 0.000
## 13613 13612 2013-01-08 40 HOME AND KITCHEN II 0.000
## 13614 13613 2013-01-08 40 HOME APPLIANCES 0.000
## 13615 13614 2013-01-08 40 HOME CARE 0.000
## 13616 13615 2013-01-08 40 LADIESWEAR 0.000
## 13617 13616 2013-01-08 40 LAWN AND GARDEN 0.000
## 13618 13617 2013-01-08 40 LINGERIE 3.000
## 13619 13618 2013-01-08 40 LIQUOR,WINE,BEER 4.000
## 13620 13619 2013-01-08 40 MAGAZINES 0.000
## 13621 13620 2013-01-08 40 MEATS 58.610
## 13622 13621 2013-01-08 40 PERSONAL CARE 189.000
## 13623 13622 2013-01-08 40 PET SUPPLIES 0.000
## 13624 13623 2013-01-08 40 PLAYERS AND ELECTRONICS 0.000
## 13625 13624 2013-01-08 40 POULTRY 72.851
## 13626 13625 2013-01-08 40 PREPARED FOODS 23.000
## 13627 13626 2013-01-08 40 PRODUCE 0.000
## 13628 13627 2013-01-08 40 SCHOOL AND OFFICE SUPPLIES 0.000
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## 13631 13630 2013-01-08 41 BABY CARE 0.000
## 13632 13631 2013-01-08 41 BEAUTY 5.000
## 13633 13632 2013-01-08 41 BEVERAGES 557.000
## 13634 13633 2013-01-08 41 BOOKS 0.000
## 13635 13634 2013-01-08 41 BREAD/BAKERY 214.506
## 13636 13635 2013-01-08 41 CELEBRATION 0.000
## 13637 13636 2013-01-08 41 CLEANING 516.000
## 13638 13637 2013-01-08 41 DAIRY 207.000
## 13639 13638 2013-01-08 41 DELI 112.373
## 13640 13639 2013-01-08 41 EGGS 74.000
## 13641 13640 2013-01-08 41 FROZEN FOODS 95.350
## 13642 13641 2013-01-08 41 GROCERY I 1448.000
## 13643 13642 2013-01-08 41 GROCERY II 10.000
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## 13645 13644 2013-01-08 41 HOME AND KITCHEN I 0.000
## 13646 13645 2013-01-08 41 HOME AND KITCHEN II 0.000
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## 13648 13647 2013-01-08 41 HOME CARE 0.000
## 13649 13648 2013-01-08 41 LADIESWEAR 0.000
## 13650 13649 2013-01-08 41 LAWN AND GARDEN 1.000
## 13651 13650 2013-01-08 41 LINGERIE 12.000
## 13652 13651 2013-01-08 41 LIQUOR,WINE,BEER 37.000
## 13653 13652 2013-01-08 41 MAGAZINES 0.000
## 13654 13653 2013-01-08 41 MEATS 114.029
## 13655 13654 2013-01-08 41 PERSONAL CARE 150.000
## 13656 13655 2013-01-08 41 PET SUPPLIES 0.000
## 13657 13656 2013-01-08 41 PLAYERS AND ELECTRONICS 0.000
## 13658 13657 2013-01-08 41 POULTRY 66.530
## 13659 13658 2013-01-08 41 PREPARED FOODS 51.495
## 13660 13659 2013-01-08 41 PRODUCE 0.000
## 13661 13660 2013-01-08 41 SCHOOL AND OFFICE SUPPLIES 0.000
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## 13664 13663 2013-01-08 42 BABY CARE 0.000
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## 13677 13676 2013-01-08 42 HARDWARE 0.000
## 13678 13677 2013-01-08 42 HOME AND KITCHEN I 0.000
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## 13681 13680 2013-01-08 42 HOME CARE 0.000
## 13682 13681 2013-01-08 42 LADIESWEAR 0.000
## 13683 13682 2013-01-08 42 LAWN AND GARDEN 0.000
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## 13685 13684 2013-01-08 42 LIQUOR,WINE,BEER 0.000
## 13686 13685 2013-01-08 42 MAGAZINES 0.000
## 13687 13686 2013-01-08 42 MEATS 0.000
## 13688 13687 2013-01-08 42 PERSONAL CARE 0.000
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## 13690 13689 2013-01-08 42 PLAYERS AND ELECTRONICS 0.000
## 13691 13690 2013-01-08 42 POULTRY 0.000
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## 13697 13696 2013-01-08 43 BABY CARE 0.000
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## 13702 13701 2013-01-08 43 CELEBRATION 0.000
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## 13706 13705 2013-01-08 43 EGGS 58.000
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## 13708 13707 2013-01-08 43 GROCERY I 1765.000
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## 13710 13709 2013-01-08 43 HARDWARE 1.000
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## 13714 13713 2013-01-08 43 HOME CARE 0.000
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## 13716 13715 2013-01-08 43 LAWN AND GARDEN 0.000
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## 13718 13717 2013-01-08 43 LIQUOR,WINE,BEER 27.000
## 13719 13718 2013-01-08 43 MAGAZINES 0.000
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## 13722 13721 2013-01-08 43 PET SUPPLIES 0.000
## 13723 13722 2013-01-08 43 PLAYERS AND ELECTRONICS 0.000
## 13724 13723 2013-01-08 43 POULTRY 104.170
## 13725 13724 2013-01-08 43 PREPARED FOODS 38.000
## 13726 13725 2013-01-08 43 PRODUCE 0.000
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## 13730 13729 2013-01-08 44 BABY CARE 0.000
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## 13732 13731 2013-01-08 44 BEVERAGES 3703.000
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## 13734 13733 2013-01-08 44 BREAD/BAKERY 789.296
## 13735 13734 2013-01-08 44 CELEBRATION 0.000
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## 13739 13738 2013-01-08 44 EGGS 529.000
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## 13741 13740 2013-01-08 44 GROCERY I 19849.000
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## 13743 13742 2013-01-08 44 HARDWARE 0.000
## 13744 13743 2013-01-08 44 HOME AND KITCHEN I 0.000
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## 13746 13745 2013-01-08 44 HOME APPLIANCES 0.000
## 13747 13746 2013-01-08 44 HOME CARE 0.000
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## 13752 13751 2013-01-08 44 MAGAZINES 0.000
## 13753 13752 2013-01-08 44 MEATS 810.405
## 13754 13753 2013-01-08 44 PERSONAL CARE 2356.000
## 13755 13754 2013-01-08 44 PET SUPPLIES 0.000
## 13756 13755 2013-01-08 44 PLAYERS AND ELECTRONICS 0.000
## 13757 13756 2013-01-08 44 POULTRY 534.395
## 13758 13757 2013-01-08 44 PREPARED FOODS 381.570
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## 13763 13762 2013-01-08 45 BABY CARE 0.000
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## 13774 13773 2013-01-08 45 GROCERY I 5452.000
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## 13776 13775 2013-01-08 45 HARDWARE 2.000
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## 13780 13779 2013-01-08 45 HOME CARE 0.000
## 13781 13780 2013-01-08 45 LADIESWEAR 0.000
## 13782 13781 2013-01-08 45 LAWN AND GARDEN 3.000
## 13783 13782 2013-01-08 45 LINGERIE 6.000
## 13784 13783 2013-01-08 45 LIQUOR,WINE,BEER 114.000
## 13785 13784 2013-01-08 45 MAGAZINES 0.000
## 13786 13785 2013-01-08 45 MEATS 925.543
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## 13788 13787 2013-01-08 45 PET SUPPLIES 0.000
## 13789 13788 2013-01-08 45 PLAYERS AND ELECTRONICS 0.000
## 13790 13789 2013-01-08 45 POULTRY 515.814
## 13791 13790 2013-01-08 45 PREPARED FOODS 219.720
## 13792 13791 2013-01-08 45 PRODUCE 0.000
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## 13796 13795 2013-01-08 46 BABY CARE 0.000
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## 13813 13812 2013-01-08 46 HOME CARE 0.000
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## 13819 13818 2013-01-08 46 MEATS 1586.962
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## 13822 13821 2013-01-08 46 PLAYERS AND ELECTRONICS 0.000
## 13823 13822 2013-01-08 46 POULTRY 577.779
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## 13846 13845 2013-01-08 47 HOME CARE 0.000
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## 13924 13923 2013-01-08 49 PRODUCE 0.000
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## 13926 13925 2013-01-08 49 SEAFOOD 60.398
## 13927 13926 2013-01-08 5 AUTOMOTIVE 5.000
## 13928 13927 2013-01-08 5 BABY CARE 0.000
## 13929 13928 2013-01-08 5 BEAUTY 1.000
## 13930 13929 2013-01-08 5 BEVERAGES 746.000
## 13931 13930 2013-01-08 5 BOOKS 0.000
## 13932 13931 2013-01-08 5 BREAD/BAKERY 335.194
## 13933 13932 2013-01-08 5 CELEBRATION 0.000
## 13934 13933 2013-01-08 5 CLEANING 1062.000
## 13935 13934 2013-01-08 5 DAIRY 245.000
## 13936 13935 2013-01-08 5 DELI 231.075
## 13937 13936 2013-01-08 5 EGGS 141.000
## 13938 13937 2013-01-08 5 FROZEN FOODS 80.059
## 13939 13938 2013-01-08 5 GROCERY I 2651.000
## 13940 13939 2013-01-08 5 GROCERY II 12.000
## 13941 13940 2013-01-08 5 HARDWARE 1.000
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## 13944 13943 2013-01-08 5 HOME APPLIANCES 0.000
## 13945 13944 2013-01-08 5 HOME CARE 0.000
## 13946 13945 2013-01-08 5 LADIESWEAR 0.000
## 13947 13946 2013-01-08 5 LAWN AND GARDEN 0.000
## 13948 13947 2013-01-08 5 LINGERIE 57.000
## 13949 13948 2013-01-08 5 LIQUOR,WINE,BEER 39.000
## 13950 13949 2013-01-08 5 MAGAZINES 0.000
## 13951 13950 2013-01-08 5 MEATS 314.298
## 13952 13951 2013-01-08 5 PERSONAL CARE 244.000
## 13953 13952 2013-01-08 5 PET SUPPLIES 0.000
## 13954 13953 2013-01-08 5 PLAYERS AND ELECTRONICS 0.000
## 13955 13954 2013-01-08 5 POULTRY 160.536
## 13956 13955 2013-01-08 5 PREPARED FOODS 86.000
## 13957 13956 2013-01-08 5 PRODUCE 0.000
## 13958 13957 2013-01-08 5 SCHOOL AND OFFICE SUPPLIES 0.000
## 13959 13958 2013-01-08 5 SEAFOOD 16.697
## 13960 13959 2013-01-08 50 AUTOMOTIVE 8.000
## 13961 13960 2013-01-08 50 BABY CARE 0.000
## 13962 13961 2013-01-08 50 BEAUTY 9.000
## 13963 13962 2013-01-08 50 BEVERAGES 1164.000
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## 13965 13964 2013-01-08 50 BREAD/BAKERY 384.392
## 13966 13965 2013-01-08 50 CELEBRATION 0.000
## 13967 13966 2013-01-08 50 CLEANING 1390.000
## 13968 13967 2013-01-08 50 DAIRY 479.000
## 13969 13968 2013-01-08 50 DELI 306.142
## 13970 13969 2013-01-08 50 EGGS 114.000
## 13971 13970 2013-01-08 50 FROZEN FOODS 128.886
## 13972 13971 2013-01-08 50 GROCERY I 4290.000
## 13973 13972 2013-01-08 50 GROCERY II 29.000
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## 13979 13978 2013-01-08 50 LADIESWEAR 0.000
## 13980 13979 2013-01-08 50 LAWN AND GARDEN 0.000
## 13981 13980 2013-01-08 50 LINGERIE 9.000
## 13982 13981 2013-01-08 50 LIQUOR,WINE,BEER 71.000
## 13983 13982 2013-01-08 50 MAGAZINES 0.000
## 13984 13983 2013-01-08 50 MEATS 1053.852
## 13985 13984 2013-01-08 50 PERSONAL CARE 426.000
## 13986 13985 2013-01-08 50 PET SUPPLIES 0.000
## 13987 13986 2013-01-08 50 PLAYERS AND ELECTRONICS 0.000
## 13988 13987 2013-01-08 50 POULTRY 312.980
## 13989 13988 2013-01-08 50 PREPARED FOODS 126.553
## 13990 13989 2013-01-08 50 PRODUCE 0.000
## 13991 13990 2013-01-08 50 SCHOOL AND OFFICE SUPPLIES 0.000
## 13992 13991 2013-01-08 50 SEAFOOD 20.778
## 13993 13992 2013-01-08 51 AUTOMOTIVE 7.000
## 13994 13993 2013-01-08 51 BABY CARE 0.000
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## 13996 13995 2013-01-08 51 BEVERAGES 2513.000
## 13997 13996 2013-01-08 51 BOOKS 0.000
## 13998 13997 2013-01-08 51 BREAD/BAKERY 526.175
## 13999 13998 2013-01-08 51 CELEBRATION 0.000
## 14000 13999 2013-01-08 51 CLEANING 1233.000
## 14001 14000 2013-01-08 51 DAIRY 704.000
## 14002 14001 2013-01-08 51 DELI 230.244
## 14003 14002 2013-01-08 51 EGGS 287.000
## 14004 14003 2013-01-08 51 FROZEN FOODS 136.879
## 14005 14004 2013-01-08 51 GROCERY I 3513.000
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## 14011 14010 2013-01-08 51 HOME CARE 0.000
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## 14013 14012 2013-01-08 51 LAWN AND GARDEN 1.000
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## 14015 14014 2013-01-08 51 LIQUOR,WINE,BEER 59.000
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## 14017 14016 2013-01-08 51 MEATS 573.778
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## 14019 14018 2013-01-08 51 PET SUPPLIES 0.000
## 14020 14019 2013-01-08 51 PLAYERS AND ELECTRONICS 0.000
## 14021 14020 2013-01-08 51 POULTRY 310.719
## 14022 14021 2013-01-08 51 PREPARED FOODS 112.839
## 14023 14022 2013-01-08 51 PRODUCE 0.000
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## 14025 14024 2013-01-08 51 SEAFOOD 80.826
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## 14053 14052 2013-01-08 52 PLAYERS AND ELECTRONICS 0.000
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## 14086 14085 2013-01-08 53 PLAYERS AND ELECTRONICS 0.000
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## 14104 14103 2013-01-08 54 GROCERY I 1286.000
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## 14119 14118 2013-01-08 54 PLAYERS AND ELECTRONICS 0.000
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## 14318 14317 2013-01-09 10 POULTRY 68.899
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## 14328 14327 2013-01-09 11 BREAD/BAKERY 375.000
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## 14345 14344 2013-01-09 11 LIQUOR,WINE,BEER 19.000
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## 14347 14346 2013-01-09 11 MEATS 668.922
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## 14350 14349 2013-01-09 11 PLAYERS AND ELECTRONICS 0.000
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## 14383 14382 2013-01-09 12 PLAYERS AND ELECTRONICS 0.000
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## 14416 14415 2013-01-09 13 PLAYERS AND ELECTRONICS 0.000
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## 14446 14445 2013-01-09 14 MEATS 361.370
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## 14449 14448 2013-01-09 14 PLAYERS AND ELECTRONICS 0.000
## 14450 14449 2013-01-09 14 POULTRY 69.172
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## 14482 14481 2013-01-09 15 PLAYERS AND ELECTRONICS 0.000
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## 14515 14514 2013-01-09 16 PLAYERS AND ELECTRONICS 0.000
## 14516 14515 2013-01-09 16 POULTRY 79.302
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## 14845 14844 2013-01-09 25 PLAYERS AND ELECTRONICS 0.000
## 14846 14845 2013-01-09 25 POULTRY 74.599
## 14847 14846 2013-01-09 25 PREPARED FOODS 37.871
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## 14878 14877 2013-01-09 26 PLAYERS AND ELECTRONICS 0.000
## 14879 14878 2013-01-09 26 POULTRY 125.941
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## 14944 14943 2013-01-09 28 PLAYERS AND ELECTRONICS 0.000
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## 15010 15009 2013-01-09 3 PLAYERS AND ELECTRONICS 0.000
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## 15012 15011 2013-01-09 3 PREPARED FOODS 196.796
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## 15039 15038 2013-01-09 30 MAGAZINES 0.000
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## 15042 15041 2013-01-09 30 PET SUPPLIES 0.000
## 15043 15042 2013-01-09 30 PLAYERS AND ELECTRONICS 0.000
## 15044 15043 2013-01-09 30 POULTRY 27.857
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## 15052 15051 2013-01-09 31 BEVERAGES 626.000
## 15053 15052 2013-01-09 31 BOOKS 0.000
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## 15059 15058 2013-01-09 31 EGGS 41.000
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## 15072 15071 2013-01-09 31 MAGAZINES 0.000
## 15073 15072 2013-01-09 31 MEATS 143.450
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## 15075 15074 2013-01-09 31 PET SUPPLIES 0.000
## 15076 15075 2013-01-09 31 PLAYERS AND ELECTRONICS 0.000
## 15077 15076 2013-01-09 31 POULTRY 35.849
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## 15083 15082 2013-01-09 32 BABY CARE 0.000
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## 15086 15085 2013-01-09 32 BOOKS 0.000
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## 15088 15087 2013-01-09 32 CELEBRATION 0.000
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## 15100 15099 2013-01-09 32 HOME CARE 0.000
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## 15110 15109 2013-01-09 32 POULTRY 34.994
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## 15142 15141 2013-01-09 33 PLAYERS AND ELECTRONICS 0.000
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## 15307 15306 2013-01-09 38 PLAYERS AND ELECTRONICS 0.000
## 15308 15307 2013-01-09 38 POULTRY 70.890
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## 15501 15500 2013-01-09 43 MAGAZINES 0.000
## 15502 15501 2013-01-09 43 MEATS 124.760
## 15503 15502 2013-01-09 43 PERSONAL CARE 118.000
## 15504 15503 2013-01-09 43 PET SUPPLIES 0.000
## 15505 15504 2013-01-09 43 PLAYERS AND ELECTRONICS 0.000
## 15506 15505 2013-01-09 43 POULTRY 77.434
## 15507 15506 2013-01-09 43 PREPARED FOODS 45.000
## 15508 15507 2013-01-09 43 PRODUCE 0.000
## 15509 15508 2013-01-09 43 SCHOOL AND OFFICE SUPPLIES 0.000
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## 15511 15510 2013-01-09 44 AUTOMOTIVE 14.000
## 15512 15511 2013-01-09 44 BABY CARE 0.000
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## 15517 15516 2013-01-09 44 CELEBRATION 0.000
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## 15519 15518 2013-01-09 44 DAIRY 1548.000
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## 15521 15520 2013-01-09 44 EGGS 606.000
## 15522 15521 2013-01-09 44 FROZEN FOODS 347.761
## 15523 15522 2013-01-09 44 GROCERY I 7546.000
## 15524 15523 2013-01-09 44 GROCERY II 121.000
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## 15538 15537 2013-01-09 44 PLAYERS AND ELECTRONICS 0.000
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## 15637 15636 2013-01-09 47 PLAYERS AND ELECTRONICS 0.000
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## 15894 15893 2013-01-09 54 LAWN AND GARDEN 0.000
## 15895 15894 2013-01-09 54 LINGERIE 0.000
## 15896 15895 2013-01-09 54 LIQUOR,WINE,BEER 8.000
## 15897 15896 2013-01-09 54 MAGAZINES 0.000
## 15898 15897 2013-01-09 54 MEATS 32.940
## 15899 15898 2013-01-09 54 PERSONAL CARE 110.000
## 15900 15899 2013-01-09 54 PET SUPPLIES 0.000
## 15901 15900 2013-01-09 54 PLAYERS AND ELECTRONICS 0.000
## 15902 15901 2013-01-09 54 POULTRY 27.335
## 15903 15902 2013-01-09 54 PREPARED FOODS 48.000
## 15904 15903 2013-01-09 54 PRODUCE 0.000
## 15905 15904 2013-01-09 54 SCHOOL AND OFFICE SUPPLIES 0.000
## 15906 15905 2013-01-09 54 SEAFOOD 1.000
## 15907 15906 2013-01-09 6 AUTOMOTIVE 4.000
## 15908 15907 2013-01-09 6 BABY CARE 0.000
## 15909 15908 2013-01-09 6 BEAUTY 3.000
## 15910 15909 2013-01-09 6 BEVERAGES 1061.000
## 15911 15910 2013-01-09 6 BOOKS 0.000
## 15912 15911 2013-01-09 6 BREAD/BAKERY 340.797
## 15913 15912 2013-01-09 6 CELEBRATION 0.000
## 15914 15913 2013-01-09 6 CLEANING 974.000
## 15915 15914 2013-01-09 6 DAIRY 411.000
## 15916 15915 2013-01-09 6 DELI 180.360
## 15917 15916 2013-01-09 6 EGGS 172.000
## 15918 15917 2013-01-09 6 FROZEN FOODS 149.795
## 15919 15918 2013-01-09 6 GROCERY I 3319.000
## 15920 15919 2013-01-09 6 GROCERY II 34.000
## 15921 15920 2013-01-09 6 HARDWARE 0.000
## 15922 15921 2013-01-09 6 HOME AND KITCHEN I 0.000
## 15923 15922 2013-01-09 6 HOME AND KITCHEN II 0.000
## 15924 15923 2013-01-09 6 HOME APPLIANCES 0.000
## 15925 15924 2013-01-09 6 HOME CARE 0.000
## 15926 15925 2013-01-09 6 LADIESWEAR 0.000
## 15927 15926 2013-01-09 6 LAWN AND GARDEN 6.000
## 15928 15927 2013-01-09 6 LINGERIE 13.000
## 15929 15928 2013-01-09 6 LIQUOR,WINE,BEER 40.000
## 15930 15929 2013-01-09 6 MAGAZINES 0.000
## 15931 15930 2013-01-09 6 MEATS 487.349
## 15932 15931 2013-01-09 6 PERSONAL CARE 229.000
## 15933 15932 2013-01-09 6 PET SUPPLIES 0.000
## 15934 15933 2013-01-09 6 PLAYERS AND ELECTRONICS 0.000
## 15935 15934 2013-01-09 6 POULTRY 333.046
## 15936 15935 2013-01-09 6 PREPARED FOODS 135.720
## 15937 15936 2013-01-09 6 PRODUCE 0.000
## 15938 15937 2013-01-09 6 SCHOOL AND OFFICE SUPPLIES 0.000
## 15939 15938 2013-01-09 6 SEAFOOD 30.907
## 15940 15939 2013-01-09 7 AUTOMOTIVE 1.000
## 15941 15940 2013-01-09 7 BABY CARE 0.000
## 15942 15941 2013-01-09 7 BEAUTY 6.000
## 15943 15942 2013-01-09 7 BEVERAGES 1347.000
## 15944 15943 2013-01-09 7 BOOKS 0.000
## 15945 15944 2013-01-09 7 BREAD/BAKERY 378.019
## 15946 15945 2013-01-09 7 CELEBRATION 0.000
## 15947 15946 2013-01-09 7 CLEANING 1017.000
## 15948 15947 2013-01-09 7 DAIRY 561.000
## 15949 15948 2013-01-09 7 DELI 113.463
## 15950 15949 2013-01-09 7 EGGS 226.000
## 15951 15950 2013-01-09 7 FROZEN FOODS 148.844
## 15952 15951 2013-01-09 7 GROCERY I 2409.000
## 15953 15952 2013-01-09 7 GROCERY II 25.000
## 15954 15953 2013-01-09 7 HARDWARE 0.000
## 15955 15954 2013-01-09 7 HOME AND KITCHEN I 0.000
## 15956 15955 2013-01-09 7 HOME AND KITCHEN II 0.000
## 15957 15956 2013-01-09 7 HOME APPLIANCES 0.000
## 15958 15957 2013-01-09 7 HOME CARE 0.000
## 15959 15958 2013-01-09 7 LADIESWEAR 0.000
## 15960 15959 2013-01-09 7 LAWN AND GARDEN 3.000
## 15961 15960 2013-01-09 7 LINGERIE 11.000
## 15962 15961 2013-01-09 7 LIQUOR,WINE,BEER 53.000
## 15963 15962 2013-01-09 7 MAGAZINES 0.000
## 15964 15963 2013-01-09 7 MEATS 450.462
## 15965 15964 2013-01-09 7 PERSONAL CARE 130.000
## 15966 15965 2013-01-09 7 PET SUPPLIES 0.000
## 15967 15966 2013-01-09 7 PLAYERS AND ELECTRONICS 0.000
## 15968 15967 2013-01-09 7 POULTRY 208.512
## 15969 15968 2013-01-09 7 PREPARED FOODS 136.000
## 15970 15969 2013-01-09 7 PRODUCE 0.000
## 15971 15970 2013-01-09 7 SCHOOL AND OFFICE SUPPLIES 0.000
## 15972 15971 2013-01-09 7 SEAFOOD 44.316
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## 15979 15978 2013-01-09 8 CELEBRATION 0.000
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## 15981 15980 2013-01-09 8 DAIRY 921.000
## 15982 15981 2013-01-09 8 DELI 173.833
## 15983 15982 2013-01-09 8 EGGS 278.000
## 15984 15983 2013-01-09 8 FROZEN FOODS 163.420
## 15985 15984 2013-01-09 8 GROCERY I 3361.000
## 15986 15985 2013-01-09 8 GROCERY II 36.000
## 15987 15986 2013-01-09 8 HARDWARE 0.000
## 15988 15987 2013-01-09 8 HOME AND KITCHEN I 0.000
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## 15991 15990 2013-01-09 8 HOME CARE 0.000
## 15992 15991 2013-01-09 8 LADIESWEAR 0.000
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## 15995 15994 2013-01-09 8 LIQUOR,WINE,BEER 91.000
## 15996 15995 2013-01-09 8 MAGAZINES 0.000
## 15997 15996 2013-01-09 8 MEATS 527.660
## 15998 15997 2013-01-09 8 PERSONAL CARE 296.000
## 15999 15998 2013-01-09 8 PET SUPPLIES 0.000
## 16000 15999 2013-01-09 8 PLAYERS AND ELECTRONICS 0.000
## 16001 16000 2013-01-09 8 POULTRY 242.306
## 16002 16001 2013-01-09 8 PREPARED FOODS 212.002
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## 16004 16003 2013-01-09 8 SCHOOL AND OFFICE SUPPLIES 0.000
## 16005 16004 2013-01-09 8 SEAFOOD 65.642
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## 16007 16006 2013-01-09 9 BABY CARE 0.000
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## 16009 16008 2013-01-09 9 BEVERAGES 772.000
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## 16012 16011 2013-01-09 9 CELEBRATION 0.000
## 16013 16012 2013-01-09 9 CLEANING 1074.000
## 16014 16013 2013-01-09 9 DAIRY 221.000
## 16015 16014 2013-01-09 9 DELI 294.580
## 16016 16015 2013-01-09 9 EGGS 90.000
## 16017 16016 2013-01-09 9 FROZEN FOODS 16.555
## 16018 16017 2013-01-09 9 GROCERY I 3269.000
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## 16020 16019 2013-01-09 9 HARDWARE 1.000
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## 16024 16023 2013-01-09 9 HOME CARE 0.000
## 16025 16024 2013-01-09 9 LADIESWEAR 0.000
## 16026 16025 2013-01-09 9 LAWN AND GARDEN 1.000
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## 16028 16027 2013-01-09 9 LIQUOR,WINE,BEER 20.000
## 16029 16028 2013-01-09 9 MAGAZINES 0.000
## 16030 16029 2013-01-09 9 MEATS 335.311
## 16031 16030 2013-01-09 9 PERSONAL CARE 234.000
## 16032 16031 2013-01-09 9 PET SUPPLIES 0.000
## 16033 16032 2013-01-09 9 PLAYERS AND ELECTRONICS 0.000
## 16034 16033 2013-01-09 9 POULTRY 317.421
## 16035 16034 2013-01-09 9 PREPARED FOODS 24.000
## 16036 16035 2013-01-09 9 PRODUCE 0.000
## 16037 16036 2013-01-09 9 SCHOOL AND OFFICE SUPPLIES 0.000
## 16038 16037 2013-01-09 9 SEAFOOD 13.484
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## 16040 16039 2013-01-10 1 BABY CARE 0.000
## 16041 16040 2013-01-10 1 BEAUTY 3.000
## 16042 16041 2013-01-10 1 BEVERAGES 847.000
## 16043 16042 2013-01-10 1 BOOKS 0.000
## 16044 16043 2013-01-10 1 BREAD/BAKERY 303.515
## 16045 16044 2013-01-10 1 CELEBRATION 0.000
## 16046 16045 2013-01-10 1 CLEANING 683.000
## 16047 16046 2013-01-10 1 DAIRY 345.000
## 16048 16047 2013-01-10 1 DELI 123.893
## 16049 16048 2013-01-10 1 EGGS 117.000
## 16050 16049 2013-01-10 1 FROZEN FOODS 61.000
## 16051 16050 2013-01-10 1 GROCERY I 1544.000
## 16052 16051 2013-01-10 1 GROCERY II 39.000
## 16053 16052 2013-01-10 1 HARDWARE 4.000
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## 16062 16061 2013-01-10 1 MAGAZINES 0.000
## 16063 16062 2013-01-10 1 MEATS 246.035
## 16064 16063 2013-01-10 1 PERSONAL CARE 110.000
## 16065 16064 2013-01-10 1 PET SUPPLIES 0.000
## 16066 16065 2013-01-10 1 PLAYERS AND ELECTRONICS 0.000
## 16067 16066 2013-01-10 1 POULTRY 156.072
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## 16078 16077 2013-01-10 10 CELEBRATION 0.000
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## 16084 16083 2013-01-10 10 GROCERY I 1247.000
## 16085 16084 2013-01-10 10 GROCERY II 1.000
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## 16090 16089 2013-01-10 10 HOME CARE 0.000
## 16091 16090 2013-01-10 10 LADIESWEAR 0.000
## 16092 16091 2013-01-10 10 LAWN AND GARDEN 0.000
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## 16094 16093 2013-01-10 10 LIQUOR,WINE,BEER 1.000
## 16095 16094 2013-01-10 10 MAGAZINES 0.000
## 16096 16095 2013-01-10 10 MEATS 226.098
## 16097 16096 2013-01-10 10 PERSONAL CARE 128.000
## 16098 16097 2013-01-10 10 PET SUPPLIES 0.000
## 16099 16098 2013-01-10 10 PLAYERS AND ELECTRONICS 0.000
## 16100 16099 2013-01-10 10 POULTRY 79.508
## 16101 16100 2013-01-10 10 PREPARED FOODS 11.000
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## [ reached 'max' / getOption("max.print") -- omitted 2984222 rows ]# Determine the cutoff date for splitting
cutoff_date <- as.Date("2017-08-02")
cutoff_date2 <- as.Date("2016-08-02")
# Split the data into training and testing sets based on the cutoff date
train <- sales %>% filter(date < cutoff_date)
#train <- sales %>% filter(date < cutoff_date)%>% filter(date >= cutoff_date2)
test <- sales %>% filter(date >= cutoff_date)
# Split by store:
train_44 <- subset(train,store_nbr=="44")
train_45 <- subset(train,store_nbr=="45")
train_47 <- subset(train,store_nbr=="47")
test_44 <- subset(test,store_nbr=="44")
test_45 <- subset(test,store_nbr=="45")
test_47 <- subset(test,store_nbr=="47")
# Test on sub families
train_44_grocery <- subset(train_44,family=="GROCERY I")%>% select(date, sales)
test_44_grocery <- subset(test_44,family=="GROCERY I")%>% select(date, sales)
train_44_grocery## date sales
## 1267 2013-01-01 0.00
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## 2971861 2017-07-30 14472.00
## 2973643 2017-07-31 9934.00
## 2975425 2017-08-01 10941.00test_44_grocery## date sales
## 1267 2017-08-02 11156
## 3049 2017-08-03 8419
## 4831 2017-08-04 9346
## 6613 2017-08-05 12463
## 8395 2017-08-06 13248
## 10177 2017-08-07 8497
## 11959 2017-08-08 8201
## 13741 2017-08-09 8062
## 15523 2017-08-10 7097
## 17305 2017-08-11 9979
## 19087 2017-08-12 9391
## 20869 2017-08-13 9811
## 22651 2017-08-14 8318
## 24433 2017-08-15 8123Aggregate the total daily sales
train_44_agg <- train_44 %>%
group_by(date) %>%
summarise(total_daily_sales = sum(sales),store_nbr=mean(store_nbr))
train_45_agg <- train_45 %>%
group_by(date) %>%
summarise(total_daily_sales = sum(sales),,store_nbr=mean(store_nbr))
train_47_agg <- train_47 %>%
group_by(date) %>%
summarise(total_daily_sales = sum(sales),store_nbr=mean(store_nbr))
test_44_agg <- test_44 %>%
group_by(date) %>%
summarise(total_daily_sales = sum(sales),store_nbr=mean(store_nbr))
test_45_agg <- test_45 %>%
group_by(date) %>%
summarise(total_daily_sales = sum(sales),store_nbr=mean(store_nbr))
test_47_agg <- test_47 %>%
group_by(date) %>%
summarise(total_daily_sales = sum(sales),store_nbr=mean(store_nbr))
head(test_44_agg)## # A tibble: 6 × 3
## date total_daily_sales store_nbr
## <date> <dbl> <dbl>
## 1 2017-08-02 49489. 44
## 2 2017-08-03 34155. 44
## 3 2017-08-04 40720. 44
## 4 2017-08-05 52053. 44
## 5 2017-08-06 57165. 44
## 6 2017-08-07 36210. 44plot(ts(train_44_agg$total_daily_sales,start=2013,frequency=365.25))
I.) Plot Time Series (without imputations or outlier replacement)
options(repr.plot.width = 28, repr.plot.height = 7)
# Merge the datasets by row
merged_dataset <- rbind(train_44_agg, train_45_agg, train_47_agg)
merged_dataset <- merged_dataset %>% mutate(store_nbr = as.factor(store_nbr))
library(lubridate)
# Aggregate by month
data_store_44_monthly <- merged_dataset %>%
mutate(month = floor_date(date, "month")) %>%
group_by(month,store_nbr) %>%
summarise(total_monthly_sales = sum(total_daily_sales))## `summarise()` has grouped output by 'month'. You can override using the
## `.groups` argument.ggplot(merged_dataset, aes(x = date, y = total_daily_sales, color = store_nbr))+
geom_line() +
labs(x = "Date", y = "Total Daily Sales", title = "Sales Over Time") +
#scale_color_manual(values = c("red", "blue", "green"))
theme_minimal()
ggplot(data_store_44_monthly, aes(x = month, y = total_monthly_sales, color = store_nbr))+
geom_line() +
labs(x = "Date", y = "Total Monthly Sales", title = "Sales Over Time") +
scale_color_manual(values = c("red", "blue", "green"))
Anomaly detection package
No anmalies detected
# Create a timestamp sequence based on the frequency
timestamps <- as.Date(train_44_agg$date)
# Create a data frame with timestamps and total_daily_sales
ts_44 <- data.frame(timestamp = timestamps, sales = clean_train_44$sales_i)
res <- ad_ts(ts_44, max_anoms=0.2, direction='both',threshold='med_max')
glimpse(res)## Rows: 0
## Columns: 0J). Testing Family level Seasonality
library(ModelMetrics)##
## Attaching package: 'ModelMetrics'## The following objects are masked from 'package:caret':
##
## confusionMatrix, precision, recall, sensitivity, specificity## The following object is masked from 'package:base':
##
## kappa# Test for family
plot(ts(train_44_grocery))
# Check if there is seasonal pattern Year over Year
YoY <- train_44_grocery %>% group_by(date=floor_date(date, "year")) %>% summarize(sales=mean(sales))
acf(YoY$sales) # No significant yearly trend
# Check if there is seasonal pattern Quarter over Quarter
QoQ <- train_44_grocery %>% group_by(date=floor_date(date, "quarter")) %>% summarize(sales=mean(sales))
acf(QoQ$sales) # No significant quarterly trend
# Check if there is seasonal pattern Month over month
MoM <- train_44_grocery %>% group_by(date=floor_date(date, "month")) %>% summarize(sales=mean(sales))
acf(MoM$sales) # significant monthly trend
# Check if there is seasonal pattern Week over Week
WoW <- train_44_grocery %>% group_by(date=floor_date(date, "week")) %>% summarize(sales=mean(sales))
acf(WoW$sales) # very significant weekly trend
# Check if there is seasonal pattern Day over Day
DoD <- train_44_grocery %>% group_by(date=floor_date(date, "day")) %>% summarize(sales=mean(sales))
acf(DoD$sales) # very significant daily trend
tbats44_grocery <- tbats(ts(train_44_grocery$sales),seasonal.periods=c(7,365.25))
tbats44_grocery## TBATS(1, {0,0}, -, {<7,1>, <365.25,4>})
##
## Call: tbats(y = ts(train_44_grocery$sales), seasonal.periods = c(7,
## 365.25))
##
## Parameters
## Alpha: 0.01822046
## Gamma-1 Values: 0.03315493 0.01241728
## Gamma-2 Values: -0.01453403 0.001453456
##
## Seed States:
## [,1]
## [1,] 7475.49634
## [2,] -595.89640
## [3,] 630.92393
## [4,] 789.10628
## [5,] 80.67437
## [6,] 356.07027
## [7,] 28.47031
## [8,] -317.52164
## [9,] -565.96546
## [10,] -517.70010
## [11,] -430.28454
##
## Sigma: 2926.121
## AIC: 39082.35#plot(tbats44_grocery)
predict44_grocery <- predict(tbats44_grocery,h=14)
#plot(predict44_grocery)
(rmse44_g <- rmse(test_44_grocery$sales, predict44_grocery$mean))## [1] 2118.094Plot the family predicted graph
Family level prediction for RMSE showed 38,830, much bigger than around 10,000 for store level prediction, so will continue with store level modeling
library(ggplot2)
train_44_grocery_predicted <- test_44_grocery
train_44_grocery_predicted$sales <- as.numeric(predict44_grocery$mean)
# plot the graph
ggplot(data=train_44_grocery) +
geom_line(data=test_44_grocery, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_44_grocery_predicted, aes(x=date, y=sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
K.) Checking Store level seasonality
- Very significant weekly and daily seasonality in acf graph
# Check if there is seasonal pattern Year over Year
YoY <- train_44_agg %>% group_by(date=floor_date(date, "year")) %>% summarize(sales=mean(total_daily_sales))
acf(YoY$sales) # No significant yearly trend
# Check if there is seasonal pattern Quarter over Quarter
QoQ <- train_44_agg %>% group_by(date=floor_date(date, "quarter")) %>% summarize(sales=mean(total_daily_sales))
acf(QoQ$sales) # No significant quarterly trend
# Check if there is seasonal pattern Month over month
MoM <- train_44_agg %>% group_by(date=floor_date(date, "month")) %>% summarize(sales=mean(total_daily_sales))
acf(MoM$sales) # significant monthly trend
# Check if there is seasonal pattern Week over Week
WoW <- train_44_agg %>% group_by(date=floor_date(date, "week")) %>% summarize(sales=mean(total_daily_sales))
acf(WoW$sales) # very significant weekly trend
# Check if there is seasonal pattern Day over Day
DoD <- train_44_agg %>% group_by(date=floor_date(date, "day")) %>% summarize(sales=mean(total_daily_sales))
acf(DoD$sales) # very significant daily trend
# 06. Proposed approaches (model) with justification and trade-offs, if
any ## A.) Running TBATs model for both raw aggregated data &
cleaned data - Ideal is to check the difference the data quality makes
to the accuracy of the model
#TBATS with raw data
tbats44 <- tbats(ts(train_44_agg$total_daily_sales,start=2013),seasonal.periods=c(7,365.25))
tbats45 <- tbats(ts(train_45_agg$total_daily_sales,start=2013),seasonal.periods=c(7,365.25))
tbats47 <- tbats(ts(train_47_agg$total_daily_sales,start=2013),seasonal.periods=c(7,365.25))
#TBATS with 0 values imputed with linear regression
tbats44_clean <- tbats(ts(clean_train_44$sales,start=2013),seasonal.periods=c(7,365.25))
tbats45_clean <- tbats(ts(clean_train_45$sales,start=2013),seasonal.periods=c(7,365.25))
tbats47_clean <- tbats(ts(clean_train_47$sales,start=2013),seasonal.periods=c(7,365.25))
#TBATS with 0 values imputed with linear regression & anomalies replaced
tbats44_cleana <- tbats(ts(clean_train_44$sales_i,start=2013),seasonal.periods=c(7*12,365.25))
tbats45_cleana <- tbats(ts(clean_train_45$sales_i,start=2013),seasonal.periods=c(7*12,365.25))
tbats47_cleana <- tbats(ts(clean_train_47$sales_i,start=2013),seasonal.periods=c(7*12,365.25))
tbats44_cleana## TBATS(0.017, {4,2}, 0.894, {<84,4>, <365.25,6>})
##
## Call: tbats(y = ts(clean_train_44$sales_i, start = 2013), seasonal.periods = c(7 *
## 12, 365.25))
##
## Parameters
## Lambda: 0.01728
## Alpha: 0.569625
## Beta: -0.04643095
## Damping Parameter: 0.894182
## Gamma-1 Values: -0.0004141339 -0.001204286
## Gamma-2 Values: 0.0004297447 0.0003024075
## AR coefficients: 0.847207 -1.092917 0.345081 -0.574622
## MA coefficients: -1.073118 0.824296
##
## Seed States:
## [,1]
## [1,] 10.9769739991
## [2,] -0.0102294382
## [3,] -0.0512483957
## [4,] -0.0114390170
## [5,] -0.0044995508
## [6,] 0.0078921007
## [7,] 0.0001262907
## [8,] 0.0119199834
## [9,] 0.0038742823
## [10,] 0.0138491142
## [11,] 0.1531768524
## [12,] -0.0129565847
## [13,] 0.0212975415
## [14,] 0.0380870771
## [15,] -0.0032038530
## [16,] 0.0190345282
## [17,] -0.0454200791
## [18,] -0.0513222846
## [19,] -0.0123182274
## [20,] -0.0635763223
## [21,] -0.0171588267
## [22,] 0.0123201601
## [23,] 0.0000000000
## [24,] 0.0000000000
## [25,] 0.0000000000
## [26,] 0.0000000000
## [27,] 0.0000000000
## [28,] 0.0000000000
## attr(,"lambda")
## [1] 0.01728042
##
## Sigma: 0.2420905
## AIC: 41997.5B.) Checking components of TBAT model
comp1 <- tbats.components(tbats44)
plot(comp1)
comp2 <- tbats.components(tbats44_clean)
plot(comp2)
comp3 <- tbats.components(tbats44_cleana)
plot(comp3)
## C.) Predicting & Calculating RMSE, using TBATS model
library(ModelMetrics)
#plot(tbats44_grocery)
predict44 <- predict(tbats44,h=14)
predict45 <- predict(tbats45,h=14)
predict47 <- predict(tbats47,h=14)
predict44c <- predict(tbats44_clean,h=14)
predict45c <- predict(tbats45_clean,h=14)
predict47c <- predict(tbats47_clean,h=14)
predict44ca <- predict(tbats44_cleana,h=14)
predict45ca <- predict(tbats45_cleana,h=14)
predict47ca <- predict(tbats47_cleana,h=14)
rmse44 <- rmse(test_44_agg$total_daily_sales, predict44$mean)
rmse45 <- rmse(test_45_agg$total_daily_sales, predict45$mean)
rmse47 <- rmse(test_47_agg$total_daily_sales, predict47$mean)
rmse44c <- rmse(clean_test_44$sales, predict44c$mean)
rmse45c <- rmse(clean_test_45$sales, predict45c$mean)
rmse47c <- rmse(clean_test_47$sales, predict47c$mean)
rmse44ca <- rmse(clean_test_44$sales_i, predict44ca$mean)
rmse45ca <- rmse(clean_test_45$sales_i, predict45ca$mean)
rmse47ca <- rmse(clean_test_47$sales_i, predict47ca$mean)
print(paste("RMSE of store 44:", rmse44))## [1] "RMSE of store 44: 10134.9201603916"print(paste("RMSE of store 45:", rmse45))## [1] "RMSE of store 45: 6838.8348246558"print(paste("RMSE of store 47:", rmse47))## [1] "RMSE of store 47: 8907.7132597181"print(paste("RMSE of store 44_c:", rmse44c))## [1] "RMSE of store 44_c: 9149.29703716454"print(paste("RMSE of store 45_c:", rmse45c))## [1] "RMSE of store 45_c: 5425.65466181126"print(paste("RMSE of store 47_c:", rmse47c))## [1] "RMSE of store 47_c: 7694.17887103223"print(paste("RMSE of store 44_ca:", rmse44ca))## [1] "RMSE of store 44_ca: 6464.69074703737"print(paste("RMSE of store 45_ca:", rmse45ca))## [1] "RMSE of store 45_ca: 8246.51756249383"print(paste("RMSE of store 47_ca:", rmse47ca))## [1] "RMSE of store 47_ca: 7080.09167714006"# Add date column for plotting
train_44_predicted <- test_44_agg
train_44_predicted$total_daily_sales <- as.numeric(predict44$mean)
train_45_predicted <- test_45_agg
train_45_predicted$total_daily_sales <- as.numeric(predict45$mean)
train_47_predicted <- test_47_agg
train_47_predicted$total_daily_sales <- as.numeric(predict47$mean)
train_44_predictedc <- clean_test_44
train_44_predictedc$sales <- as.numeric(predict44c$mean)
train_45_predictedc <- clean_test_45
train_45_predictedc$sales <- as.numeric(predict45c$mean)
train_47_predictedc <- clean_test_47
train_47_predictedc$sales <- as.numeric(predict47c$mean)
train_44_predictedca <- clean_test_44
train_44_predictedca$sales_i <- as.numeric(predict44ca$mean)
train_45_predictedca <- clean_test_45
train_45_predictedca$sales_i <- as.numeric(predict45ca$mean)
train_47_predictedca <- clean_test_47
train_47_predictedca$sales_i <- as.numeric(predict47ca$mean)
checkresiduals(predict44)
##
## Ljung-Box test
##
## data: Residuals from TBATS(1, {5,0}, -, {<7,1>, <365.25,7>})
## Q* = 223.1, df = 10, p-value < 2.2e-16
##
## Model df: 0. Total lags used: 10checkresiduals(predict44c)
##
## Ljung-Box test
##
## data: Residuals from TBATS(1, {5,3}, 0.992, {<7,2>, <365.25,4>})
## Q* = 275.66, df = 10, p-value < 2.2e-16
##
## Model df: 0. Total lags used: 10checkresiduals(predict44ca)
##
## Ljung-Box test
##
## data: Residuals from TBATS(0.017, {4,2}, 0.894, {<84,4>, <365.25,6>})
## Q* = 299.13, df = 10, p-value < 2.2e-16
##
## Model df: 0. Total lags used: 10library(dplyr)
# Create a dataframe to store the RMSE values
rmse_df <- data.frame(Store = character(),
TBATS_RMSE = numeric(),
stringsAsFactors = FALSE)
# Append RMSE values for each store and model
rmse_df <- rbind(rmse_df, data.frame(Store = "Store_44", TBATS_RMSE = rmse44))
rmse_df <- rbind(rmse_df, data.frame(Store = "Store_45", TBATS_RMSE = rmse45))
rmse_df <- rbind(rmse_df, data.frame(Store = "Store_47", TBATS_RMSE = rmse47))
TBATS_RMSE_0_filled<- c(rmse44c,rmse45c,rmse47c)
TBATS_RMSE_0_filled_anomalies_removed<- c(rmse44ca,rmse45ca,rmse47ca)
rmse_df <- cbind(rmse_df, TBATS_RMSE_0_filled = TBATS_RMSE_0_filled,TBATS_RMSE_0_filled_anomalies_removed=TBATS_RMSE_0_filled_anomalies_removed)
print(rmse_df)## Store TBATS_RMSE TBATS_RMSE_0_filled TBATS_RMSE_0_filled_anomalies_removed
## 1 Store_44 10134.920 9149.297 6464.691
## 2 Store_45 6838.835 5425.655 8246.518
## 3 Store_47 8907.713 7694.179 7080.092# Calculate the mean of each column
summarise_df <- rmse_df %>%
summarise(TBATS_RMSE = sum(TBATS_RMSE),TBATS_RMSE_0_filled = sum(TBATS_RMSE_0_filled),TBATS_RMSE_0_filled_anomalies_removed = sum(TBATS_RMSE_0_filled_anomalies_removed))
sales_44a <- sales_44 %>%
group_by(date) %>%
summarise(sales = sum(sales))
# View the mean data
print(summarise_df)## TBATS_RMSE TBATS_RMSE_0_filled TBATS_RMSE_0_filled_anomalies_removed
## 1 25881.47 22269.13 21791.3Plot the store predicted graph for raw data
# plot the graph
ggplot(data=train_44_agg) +
geom_line(data=test_44_agg, aes(x=date, y=total_daily_sales, group=1, col='r')) +
geom_line(data=train_44_predicted, aes(x=date, y=total_daily_sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
ggplot(data=train_45_agg) +
geom_line(data=test_45_agg, aes(x=date, y=total_daily_sales, group=1, col='r')) +
geom_line(data=train_45_predicted, aes(x=date, y=total_daily_sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
ggplot(data=train_47_agg) +
geom_line(data=test_47_agg, aes(x=date, y=total_daily_sales, group=1, col='r')) +
geom_line(data=train_47_predicted, aes(x=date, y=total_daily_sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
# Plot for cleaned data
# plot the graph
ggplot(data=clean_train_44) +
geom_line(data=clean_test_44, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_44_predictedc, aes(x=date, y=sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
ggplot(data=clean_train_45) +
geom_line(data=clean_test_45, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_45_predictedc, aes(x=date, y=sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
ggplot(data=clean_train_47) +
geom_line(data=clean_test_47, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_47_predictedc, aes(x=date, y=sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
# plot the graph
ggplot(data=clean_train_44) +
geom_line(data=clean_test_44, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_44_predictedca, aes(x=date, y=sales_i, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
ggplot(data=clean_train_45) +
geom_line(data=clean_test_45, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_45_predictedca, aes(x=date, y=sales_i, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
ggplot(data=clean_train_47) +
geom_line(data=clean_test_47, aes(x=date, y=sales, group=1, col='r')) +
geom_line(data=train_47_predictedca, aes(x=date, y=sales_i, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
## D.) Testing Store level auto arima model
library(forecast)
aa44 <- auto.arima(train_44_agg$total_daily_sales)
aa45 <- auto.arima(train_45_agg$total_daily_sales)
aa47 <- auto.arima(train_47_agg$total_daily_sales)
aa44## Series: train_44_agg$total_daily_sales
## ARIMA(2,1,3)
##
## Coefficients:
## ar1 ar2 ma1 ma2 ma3
## -0.4397 -0.8470 -0.1760 0.1623 -0.7435
## s.e. 0.0169 0.0382 0.0313 0.0617 0.0293
##
## sigma^2 = 94904298: log likelihood = -17695.52
## AIC=35403.04 AICc=35403.09 BIC=35435.56RMSE for autoarima
library(ModelMetrics)
forecast_aa44 <- forecast(aa44,14)
forecast_aa45 <- forecast(aa45,14)
forecast_aa47 <- forecast(aa47,14)
plot(forecast_aa44)
rmse44_2 <- rmse(test_44_agg$total_daily_sales,forecast_aa44$mean)
rmse45_2 <- rmse(test_45_agg$total_daily_sales,forecast_aa47$mean)
rmse47_2 <- rmse(test_45_agg$total_daily_sales,forecast_aa47$mean)
autoarima_RMSE<- c(rmse44_2,rmse45_2,rmse47_2)
# Bind the new column to the dataframe df with the name "New_Column"
rmse_df <- cbind(rmse_df, autoarima_RMSE = autoarima_RMSE)
print(rmse_df)## Store TBATS_RMSE TBATS_RMSE_0_filled TBATS_RMSE_0_filled_anomalies_removed
## 1 Store_44 10134.920 9149.297 6464.691
## 2 Store_45 6838.835 5425.655 8246.518
## 3 Store_47 8907.713 7694.179 7080.092
## autoarima_RMSE
## 1 9067.364
## 2 7462.342
## 3 7462.342E.) Testing Store level holt winters
hw44 <- hw(ts(train_44_agg$total_daily_sales, frequency = 7))
hw45 <- hw(ts(train_45_agg$total_daily_sales, frequency = 7))
hw47 <- hw(ts(train_47_agg$total_daily_sales, frequency = 7))
hw44_forecast <- forecast(hw44, h = 14)
hw45_forecast <- forecast(hw45, h = 14)
hw47_forecast <- forecast(hw47, h = 14)
rmse44_3 <- rmse(test_44_agg$total_daily_sales,hw44_forecast$mean)
rmse45_3 <- rmse(test_45_agg$total_daily_sales,hw45_forecast$mean)
rmse47_3 <- rmse(test_47_agg$total_daily_sales,hw47_forecast$mean)
hw_RMSE<- c(rmse44_3,rmse45_3,rmse47_3)
rmse_df <- cbind(rmse_df, holtwinters_RMSE = hw_RMSE)
print(rmse_df)## Store TBATS_RMSE TBATS_RMSE_0_filled TBATS_RMSE_0_filled_anomalies_removed
## 1 Store_44 10134.920 9149.297 6464.691
## 2 Store_45 6838.835 5425.655 8246.518
## 3 Store_47 8907.713 7694.179 7080.092
## autoarima_RMSE holtwinters_RMSE
## 1 9067.364 9683.763
## 2 7462.342 7489.293
## 3 7462.342 7811.447#rmse44_3RMSE & Plot
train_44_predicted_3 <- test_44_agg
train_44_predicted_3$total_daily_sales <- as.numeric(hw44_forecast$mean)
ggplot(data=train_44_agg) +
geom_line(data=test_44_agg, aes(x=date, y=total_daily_sales, group=1, col='r')) +
geom_line(data=train_44_predicted_3, aes(x=date, y=total_daily_sales, group=1, col='b')) +
scale_color_discrete(name = 'source', labels = c('actual', 'forecast'))
## F.) Testing store level state space model
ts_data <- ts(clean_train_44$sales_i, frequency = 365.25,start=2013)
ss_model <- ets(ts_data)
summary(ss_model)## ETS(M,N,N)
##
## Call:
## ets(y = ts_data)
##
## Smoothing parameters:
## alpha = 0.11
##
## Initial states:
## l = 25513.5815
##
## sigma: 0.2969
##
## AIC AICc BIC
## 43311.19 43311.20 43327.45
##
## Training set error measures:
## ME RMSE MAE MPE MAPE MASE ACF1
## Training set 112.3618 10990.69 8806.94 -7.40291 24.94935 0.5607886 0.2904122plot(fitted(ss_model))
forecast_values <- forecast(ss_model, h = 14)
accuracy(forecast_values$mean, clean_test_44$sales_i)## ME RMSE MAE MPE MAPE
## Test set -5430.366 9431.883 8320.607 -17.18935 22.51906